Service Engineer, Energy Storage

Position Summary:

Redwood Materials is currently searching for a Service Engineer to join as an early member of a new engineering team working on our Battery Energy Storage System product line.  You will be responsible for resolving complex technical issues across deployed Battery Energy Storage Systems (BESS). This role supports an Operations and Maintenance (O&M) organization that performs routine monitoring, preventive maintenance, and first-line troubleshooting. Service Engineering serves as the technical escalation path for O&M, owning deep diagnostics, system-level failure analysis, and engineering-driven corrective actions. 

The Service Engineer ensures safe, reliable, and high-performing asset operation by bridging field operations and engineering, translating operational issues into engineering solutions, and feeding field learnings back into product and system design. This role has the potential of growing into leadership as the team grows.  

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on both technical and leadership challenges. You’re a leader and a doer, excited about working in a dynamic, fast-paced setting, and want to shape the electrical engineering function within a new department at Redwood.

Essential Duties and Responsibilities:

• Act as the primary technical escalation point for the O&M organization for issues beyond standard operating procedures
• Define clear handoff criteria, escalation thresholds, and response expectations between O&M and Service Engineering
• Lead, mentor, and scale a team of Service Engineers providing tier-2 and tier-3 technical support
• Own investigation and resolution of complex electrical, controls, software, thermal, and system-integration issues
• Translate field and O&M feedback into actionable requirements for Product, Systems, and R&D Engineering teams
• Drive improvements in system serviceability, reliability, and maintainability through design and process changes
• Own advanced service documentation including troubleshooting guides, decision trees, and service bulletins
• Develop technical training materials and support O&M team upskilling on new systems, upgrades, and known issues

Desired Qualifications:  

Physical Requirements:  

• Ability to perform the essential job functions consistent safely and successfully with the ADA, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards
• Ability to maintain regular, punctual attendance consistent with the ADA, FMLA and other federal, state, and local standards 

Working Conditions:  

• Environment, such as office or outdoors
• Ability to work in challenging working conditions which may include exposure to noise, dust, chemicals, and temperature extremes, while protected by PPE, for extended periods of time
• Essential physical requirements, such as climbing, standing, stooping, or typing
• Occasional work weekends, nights, or be on-call as a regular part of the job
• Travel requirements, up to 40%

About the Role

The Data Governance function is pivotal in ensuring the integrity, trustworthiness, and effective management of Chime’s data assets. Our mission is to establish and operationalize data governance frameworks that not only meet compliance requirements, but actively enable high-confidence decision making across the company.  As a Data Governance Engineer, you will develop and implement policies and tools for data quality, developer enablement, certified datasets, and governance automation - with a sharp focus on building trust signals and scorecards that help data consumers quickly understand and act on the reliability of Chime's data.

This is a hands-on engineering role. You will write production-quality code to build automation for governance and data quality processes using Terraform, Python (or similar languages), and contribute to internal libraries, frameworks, and orchestration workflows that enable scalable governance.

You will partner closely with data engineering, analytics, product engineering, and compliance teams to:

• Support Chime in data compliance and risk reduction initiatives
• Establish data quality as a product discipline
• Build trust signals and scorecards that make data reliability transparent and data context valuable for a variety of use cases
• Implement governance workflows upstream, where data are created
• Ensure data context and metadata are sufficient for downstream use cases, including AI applications

You will be involved in reviews of technical designs and implementation plans to provide guidance on appropriate development from a data governance and compliance perspective, acting as a trusted advisor to teams innovating at Chime. You will also be a strong advocate and leader for Artificial Intelligence tooling and adoption at Chime, bringing curiosity and a practical eye for where AI creates leverage in data governance workflows. This role is 40% strategic influence, 40% development and building, and 20% stakeholder management and support.

The base salary for this role and level of experience will begin at $160,000.00 and go up to $221,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Build Data Trust Infrastructure: Design and implement trust scorecards, trust signals, and quality indicators that give data consumers real-time visibility into data reliability - and partner with producers upstream to embed quality checks at the source before issues propagate downstream.
• Drive Data Quality Strategy: Own and evolve Chime's data quality strategy end-to-end. Design and partner with engineering teams to implement data quality frameworks and monitoring systems that proactively identify, surface, and resolve data issues at scale.
• Develop and Implement Data Governance Policies: Create and enforce policies for data classification, quality, and lifecycle management, ensuring data integrity and compliance with SOX and other applicable regulatory standards.
• Enable the Data Catalog: Collaborate on the development, adoption, and enrichment of Chime's data catalog - improving discoverability, context richness (lineage, ownership, definitions, usage guidance), and the overall experience of working with Chime's data.
• Automate Governance Processes: Develop and deploy automation solutions for data governance tasks, such as metadata management, data lineage tracking, access controls, and quality remediation workflows.
• Champion SOX Compliance: Play an active role in Chime's SOX compliance efforts, ensuring that data governance practices, controls, and audit trails meet regulatory requirements and are well-documented.
• Lead AI Adoption for Data Governance: Serve as a leader and advocate for AI tooling within the data governance space - identifying opportunities to apply AI to automate governance workflows, improve data context, enhance trust scoring, and accelerate adoption of governance best practices across engineering teams.
• Collaborate Across Teams: Work closely with data engineers, analysts, and compliance officers to align data governance initiatives with business needs and regulatory requirements.

To thrive in this role, you have

• Experience: 5+ years in data engineering, data governance, or a related field, with hands-on experience in data classification, cataloging, quality assurance, and trust frameworks. Engineering ability to design and implement data governance and quality processes is critical to success.
• Trust & Quality Expertise: Demonstrated experience building data trust signals, quality scorecards, or similar frameworks that make data reliability visible and actionable for both engineers and non-technical stakeholders.
• Programming Experience: Proficiency in Python or a comparable programming language, and experience building scalable data tooling or automation pipelines.
• Curiosity and Relentlessness: You are genuinely curious about data, technology, and the problems that sit at the intersection of the two. You don't let ambiguity stop you - you dig in, ask the right questions, and keep pushing until you've found the right answer or built the right solution. You bring energy and persistence to hard problems and don't need external pressure to drive yourself forward.
• Composure in Complexity: Data governance at a fintech means navigating competing priorities, regulatory constraints, sprawling data ecosystems, and stakeholders with different mental models of "good." You thrive in this environment rather than shrinking from it - you can hold complexity without getting overwhelmed, break it into manageable pieces, and make steady progress without waiting for perfect conditions.
• Exceptional Communication: You are a terrific communicator in both verbal and written form. You can write a crisp one-pager that earns buy-in from a skeptical audience, run a meeting that ends with clarity instead of confusion, and translate deeply technical concepts into plain language that moves people to action. You treat communication as a core part of the job, not an afterthought.
• Product Management Mindset: You think like a product manager as much as an engineer. You ask "who is this for and what problem does it solve?" before writing a line of code. You prioritize ruthlessly, define success before you start building, and care about adoption and outcomes - not just delivery. You treat your internal stakeholders as customers and design solutions with their experience in mind.
• AI Curiosity and Advocacy: Genuine curiosity about AI and its applications in the data governance space, with an appetite for identifying and piloting new tools and workflows that improve the experience of working with Chime's data.
• Technical Proficiency: Strong knowledge of data governance tools and platforms, and experience with cloud data warehouses like Snowflake. Experience with data catalog platforms and driving adoption across engineering organizations is a strong plus.
• Bonus: Compliance Knowledge: Familiarity with SOX, CCPA, and other data privacy and financial regulations, and ability to apply technical skills to governance practices that meet audit and compliance requirements.

#LI-Onsite #LI-GC1

About the role

We are looking for a Sr. Full Stack Application Security Engineer with deep expertise in mobile application security to join our Product Security team. This role is hands-on and impact driven. You will work directly with mobile, backend, and platform engineering teams to identify, prevent, and remediate security issues across our iOS, Android, API, and backend systems.

You will operate close to the code and close to the product. That means reviewing architectures across the stack, influencing secure design decisions early, and helping teams ship features safely without slowing delivery. This role is for someone who understands how modern distributed systems and mobile apps are built, deployed, and attacked in real-world environments.

While mobile application security is a core focus, you will be part of a team that owns security posture across the full application stack including APIs, backend services, identity and authentication flows, and CI/CD pipelines.

The base salary offered for this role and level of experience will begin at $213,000 and up to $295,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Build and improve security capabilities, automation, and guardrails for mobile applications and backend/API services
• Perform application or API/backend penetration testing 
• Identify, triage, and help remediate vulnerabilities across Chime products
• Partner closely with engineering and product teams to embed security into the development lifecycle across mobile apps, APIs, and backend services
• Perform architecture and code reviews across the stack (iOS/Android, APIs, backend) with a focus on secure data storage, authentication, authorization, secure communication, and session/token handling
• Leverage AI to accelerate security workflows (e.g., code review support, triage, threat modeling), and partner with teams building AI-enabled features to define and implement production-grade AI security controls 

To thrive in this role, you have

• 5+ years of experience in application security, with strong hands-on experience across both mobile and backend systems 
• Hands on experience securing iOS and Android applications in production environments
• Strong understanding of mobile threat models and common attack techniques
• Experience with mobile security testing techniques, including static and dynamic analysis
• Familiarity with iOS and Android platform security features and limitations
• Practical coding experience, preferably in Ruby, Go, Python  languages
• Ability to clearly communicate security risks, tradeoffs, and remediation guidance to engineering partners

#LI-Hybrid #LI-JL1

About the role

Chime Engineering is growing rapidly as we scale to support the financial needs of our members. We are looking for driven engineers to join our Credit Risk Platform team, where you’ll build backend services and internal tools that help Chime manage credit risk and losses across all of our credit products, including Loans, MyPay, SpotMe, and a growing pipeline of new credit products in development.

This team is building a shared risk platform that expands with every new product we launch. A key part of the mission is being able to onboard new credit products as a platform capability, not a reinvention of decisioning, controls, and monitoring each time. You’ll partner closely with Credit Risk, Product, Analytics, and Data Science to help risk experts iterate safely using better tooling, richer data, and clear guardrails. That includes integrating third-party data sources and building systems that are reliable, observable, and auditable, because they sit on the critical path of member experiences and credit outcomes.

The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to

• Design, develop, test, and maintain backend services and internal tools that support risk strategy across multiple products (e.g., eligibility, limits, exposure tracking, policy enforcement)
• Contribute to reusable platform primitives that make it faster and safer to launch new credit products without duplicating risk decisioning and controls
• Build and improve workflows that enable Credit Risk teams to adjust strategies (rules, thresholds, segmentation) with appropriate guardrails and review processes
• Integrate third-party data sources used in decisioning and monitoring, including implementing data validation, error handling, and resilience to vendor changes
• Add instrumentation, dashboards, and alerts for key risk and loss signals, and participate in on-call/incident response as part of a supportive team rotation
• Collaborate with senior engineers to learn best practices in system design, testing, and operational excellence
• Proactively identify reliability and scalability improvements and drive them to completion with mentorship and feedback

To thrive in this role, you have

• 3+ years developing software in a production environment
• Experience with Ruby on Rails or comparable frameworks, building and operating APIs
• Experience working with relational databases and caching systems, and writing safe schema changes and migrations
• Familiarity with distributed systems fundamentals (async processing, idempotency, retries, backfills) and an interest in learning deeper system design
• A strong appreciation for maintainable, well-tested code and a willingness to improve existing systems, not just ship new ones
• Comfort working across teams to clarify requirements, communicate tradeoffs, and deliver incrementally
• Interest in data-driven systems and integrating external/third-party data sources (fintech or risk experience is a plus, not required)

#LI-Hybrid #LI-SB1

About the role

We are looking for an early-career Security Engineer to join our Product Security team,  someone who has a builder’s mindset, is eager to learn, and is excited to contribute to both planned initiatives and dynamic, real-time security needs with enough guidance and mentorship.

In this role, you’ll be part of a hands-on security team working across Infrastructure, Application, and Enterprise Security where responsibilities sometimes overlap. You’ll contribute to the design and implementation of security controls and solutions, review technical designs, and respond to findings from security researchers and penetration testers. You’ll also write code and build automation, using AI tools to help accelerate your work and strengthen security practices. Along the way, you’ll gain exposure to a wide range of security challenges that will accelerate your growth as a security engineer.

The base salary offered for this role and level of experience will begin at $130,000and up to $180,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. 

In this role, you can expect to 

• Develop assistive automation and workflows to streamline the detection and reporting of security findings
• Contribute to tracking and remediation of discovered security vulnerabilities
• Participate in projects that reduce security risks and attack surface within our infrastructure and corporate applications
• Get the opportunity to use top notch AI systems in your daily work and play a role in strengthening their security

To thrive in this role, you have

• 1–3 years of experience in a security role, or in a development role with a focus on or enthusiasm for security
• Flexibility and a willingness to take on a variety of tasks in different security domains
• Practical coding experience preferably in Go, Python, or Ruby
• Hands-on experience with AWS and ideally GCP
• Exposure to cloud and application security concepts
• Experience with Terraform (a plus)

#LI-Hybrid #LI-JL1

Staff Engineer, Customer Insights

About the role

Together AI is seeking an experienced Staff Engineer to help found, build, and scale Customer Insights, the team responsible for the customer-facing visibility layer of Together’s Cloud. This role will shape how customers understand their activity, investigate what happened, respond when something needs attention, and govern their AI workloads with confidence.

In the near term, you will turn today’s fragmented visibility patterns into coherent product and platform foundations: historical analytics, activity history, audit logs, event timelines, notifications, and investigation workflows. You will partner closely with Together’s cloud product engineering teams and data platform team to make high-quality customer visibility a built-in capability across Together Cloud rather than a bespoke effort for each surface. Longer term, you will shape how these foundations evolve beyond dashboards and static views into AI-first investigation and insight workflows: systems that can summarize activity, explain anomalies, correlate events across surfaces, recommend actions, and provide trustworthy context to both human operators and autonomous agents.

This is a deeply hands-on role for an engineer who enjoys critical-path product and platform work. You will design the event, query, delivery, and governance systems behind customer insights while also building the user-facing workflows that help enterprise customers answer: what happened, who acted, when it happened, what matters now, and whether they need to act.

Responsibilities

• Design and drive the architecture for Together's Customer Insights platform, including customer-visible events, activity history, audit logs, timelines, notifications, and historical analytics and dashboards views.
• Build and operate the shared event and historical analytics visibility layer that helps product teams define important customer-facing events once and surface them consistently across analytics, logs, timelines, notifications, and governance views.
• Write and maintain critical-path backend and product code used by multiple teams and customer-facing surfaces.
• Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and processing systems.
• Create customer workflows that connect summaries, timelines, evidence, actors, related objects, and next steps so users can investigate operational questions without relying on support or ad hoc analysis.
• Establish standards and review patterns for which events, evidence trails, notification hooks, and governance signals must exist before new product capabilities launch.
• Define reliability, freshness, completeness, and correctness measures for customer-facing visibility systems, then build the checks and operating loops needed to maintain trust at scale.
• Mentor engineers, influence architectural direction across teams, and help define the hiring bar as the Customer Insights area grows.
•  

Requirements

• 8+ years of experience building and operating large-scale distributed systems, product platforms, or customer-facing backend systems in production environments.
• Proven experience designing platforms or product systems used by multiple engineering teams or enterprise customers.
• Strong backend engineering skills in one or more of TypeScript, Go, Python, Java, C++, or similar production languages.
• Deep experience with event-driven systems, audit trails, activity feeds, analytics platforms, observability systems, notification systems, or investigation workflows.
• Strong data modeling and systems design judgment, including schemas, retention, indexing, query performance, access control, and correctness tradeoffs.
• Demonstrated ability to turn ambiguous customer and operational needs into clear technical architecture, incremental delivery plans, and durable product foundations.
• Experience partnering across product, infrastructure, data, security, and customer-facing teams to land cross-cutting architecture without relying on formal authority.
• Comfort writing critical production code while also setting technical direction, mentoring senior engineers, and raising engineering standards.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.

Preferred Qualifications

• Experience building enterprise SaaS audit logs, governance tooling, compliance evidence systems, data lineage, or incident investigation products.
• Experience with high-volume event pipelines, streaming systems, OLAP or time-series storage, search systems, or large-scale analytical query engines.
• Experience building notification, alert routing, escalation, or workflow automation systems.
• Experience designing customer-facing analytics, reporting, dashboards, or operational intelligence products.
• Experience with multi-tenant cloud platforms, identity-aware access patterns, sensitive data handling, and retention controls.
• Experience with AI infrastructure, developer platforms, observability, or systems that support mission-critical enterprise workloads.
• Experience running production workloads on Kubernetes or cloud infrastructure and using Infrastructure as Code and modern CI/CD workflows.
• Experience building product surfaces in addition to backend platforms, especially where UX quality and technical correctness both matter.

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 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: $200k-270k+ 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 the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability.

We're looking for a Senior Platform Engineer to own the API and infrastructure layer for voice workloads. You'll build the real-time WebSocket and HTTP APIs that developers use to ship voice experiences, design autoscaling for latency-sensitive streaming workloads, and ensure our multi-provider voice platform is reliable enough for production voice agents handling millions of calls.

This is a foundational hire on a small, high-impact team. Voice APIs have fundamentally different infrastructure requirements than text-based inference — bidirectional audio streaming, stateful connections, tight latency SLOs, and complex multi-model routing. You'll define how developers interact with Together's voice platform as we grow from early customers to the default infrastructure for voice AI.

• Own the real-time API layer (WebSocket + HTTP streaming) that powers Together's voice platform.
• Design autoscaling and orchestration for voice workloads running on tens of thousands of GPUs.
• Build the developer experience — APIs, observability, and tooling — for a fast-growing product area.
• Work with production voice customers (contact centers, AI agents, communication platforms) to ship what they actually need.
• Join a small, early-stage team with outsized impact on a new product line.

Responsibilities

• Build and harden real-time WebSocket and HTTP streaming APIs for STT and TTS — including connection lifecycle management, backpressure, error handling, and reconnection, at the reliability bar needed for production voice agents.
• Design and ship autoscaling for voice model endpoints that handles bursty, real-time traffic patterns — accounting for concurrent connection limits, streaming state, and hard latency ceilings.
• Implement voice-specific API features: word-level alignment, speaker diarization in realtime, audio format flexibility (g711/mulaw for telephony, PCM, WebRTC formats), pronunciation controls, and multi-context WebSocket support.
• Build voice-specific observability — latency breakdowns, audio quality signals, and dashboards that help both the team and customers debug issues.
• Own multi-model normalization across our model partners (Cartesia, Deepgram, Rime, and others), ensuring consistent API behavior regardless of the underlying provider.
• Collaborate with the ML engineering side of the team on the interface between the API layer and the model serving stack, ensuring latency and reliability requirements are met end-to-end.
• Contribute to developer experience — API design, documentation, integration cookbooks, playground and showcasing how best-in-class voice agents are built.
• Lay the groundwork for multiple new products down the line.

Requirements

• 5+ years of experience building large-scale, real-time distributed systems and API services.
• Deep expertise in real-time streaming infrastructure — WebSocket server architecture, Server-Sent Events, bidirectional streaming, connection multiplexing, and stateful protocol design.
• Expert-level programming in TypeScript and Python; experience with Rust is a plus.
• Strong distributed systems fundamentals: load balancing, autoscaling, rate limiting, and traffic shaping for latency-sensitive workloads.
• Experience with Kubernetes — including custom autoscalers, resource management, and health checking for stateful services.
• Strong product sense — you care about API ergonomics and think about what developers building voice apps actually need.
• Comfort working on a small, early-stage team where you'll wear multiple hats and move fast.
• Experience with audio or media protocols (WebRTC, g711, PCM encoding) is a strong plus.
• Familiarity with ML model serving infrastructure and how inference engines work is a plus — you'll interface with the serving layer regularly.
• Full-stack experience (React, Next.js) is a nice-to-have for contributing to developer-facing tooling.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.

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: $200,000 - $260,000 + 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  

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Role Overview

Zeta Global is seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows.

This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability.

The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.

What You’ll Build

• Full-stack applications supporting HCP and patient (DTC) audience discovery, segmentation, and activation
  • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
  • Identity resolution and data linkage services across fragmented data sources
  • Reporting, attribution, and measurement systems connecting campaigns to outcomes
  • APIs and services enabling downstream activation, analytics, and partner integrations

Key Responsibilities

• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
  • Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
  • Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
  • Implement identity resolution logic including matching, deduplication, and graph-based linkage
  • Ensure high data quality through validation, reconciliation, and monitoring frameworks
  • Design systems with strong security controls, including encryption, access control, and auditability
  • Apply privacy-by-design principles across all systems handling PHI/PII
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
  • Mentor engineers and act as a technical leader across the team

Engineering Expectations

• Strong experience designing distributed systems (microservices, event-driven architectures)
  • Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
  • Experience with streaming and batch processing (e.g., Kafka, Spark, Flink, or similar)
  • Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
  • Experience building modern front-end applications (React or similar)
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience implementing observability (logging, metrics, tracing) and reliability patterns
  • Strong understanding of performance optimization and scalability tradeoffs

Healthcare & Domain Expectations

• Experience working with HCP data (provider identity, targeting, segmentation)
  • Experience with patient / DTC data workflows and privacy-aware systems
  • Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
  • Familiarity with identity graphs and data onboarding patterns
  • Experience building reporting or attribution systems tied to business outcomes
  • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements

Qualifications

• 8–10 years of software engineering experience with increasing technical ownership
  • Proven track record of building and scaling data-intensive or distributed systems
  • Experience working in regulated environments (healthcare strongly preferred)
  • Strong system design and architecture skills
  • Ability to lead technically while remaining hands-on in implementation
  • Strong collaboration skills across engineering, product, and data teams

Preferred

• Experience with healthcare data providers or identity ecosystems
  • Background in AdTech, MarTech, or audience/data platforms
  • Experience with privacy-enhancing technologies (tokenization, clean rooms)
  • Exposure to ML/AI-driven data products or analytics systems

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $215,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-TS1

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

Role Overview

Zeta Global is seeking a Lead Software Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows.

This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability.

The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.

What You’ll Build

• Full-stack applications supporting HCP and patient (DTC) audience discovery, segmentation, and activation
  • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
  • Identity resolution and data linkage services across fragmented data sources
  • Reporting, attribution, and measurement systems connecting campaigns to outcomes
  • APIs and services enabling downstream activation, analytics, and partner integrations

Key Responsibilities

• Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
  • Design and implement scalable data pipelines (batch and streaming) for large-scale datasets
  • Build and maintain APIs and services with strong SLAs, observability, and fault tolerance
  • Implement identity resolution logic including matching, deduplication, and graph-based linkage
  • Ensure high data quality through validation, reconciliation, and monitoring frameworks
  • Design systems with strong security controls, including encryption, access control, and auditability
  • Apply privacy-by-design principles across all systems handling PHI/PII
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence
  • Mentor engineers and act as a technical leader across the team

Engineering Expectations

• Strong experience designing distributed systems (microservices, event-driven architectures)
  • Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
  • Experience with streaming and batch processing (e.g., Kafka, Spark, Flink, or similar)
  • Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
  • Experience building modern front-end applications (React or similar)
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience implementing observability (logging, metrics, tracing) and reliability patterns
  • Strong understanding of performance optimization and scalability tradeoffs

Healthcare & Domain Expectations

• Experience working with HCP data (provider identity, targeting, segmentation)
  • Experience with patient / DTC data workflows and privacy-aware systems
  • Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
  • Familiarity with identity graphs and data onboarding patterns
  • Experience building reporting or attribution systems tied to business outcomes
  • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements

Qualifications

• 8–10 years of software engineering experience with increasing technical ownership
  • Proven track record of building and scaling data-intensive or distributed systems
  • Experience working in regulated environments (healthcare strongly preferred)
  • Strong system design and architecture skills
  • Ability to lead technically while remaining hands-on in implementation
  • Strong collaboration skills across engineering, product, and data teams

Preferred

• Experience with healthcare data providers or identity ecosystems
  • Background in AdTech, MarTech, or audience/data platforms
  • Experience with privacy-enhancing technologies (tokenization, clean rooms)
  • Exposure to ML/AI-driven data products or analytics systems

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $215,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-TS1

We are looking for an experienced Software Engineer to join our Behavior & Motion Planning team and lead the development of core planning capabilities that directly shape how the Kodiak Driver behaves on the road.

This is a senior technical role for engineers who thrive on ambiguous, high-leverage problems at the intersection of robotics, optimization, and real-time systems. You will own complex planning challenges end-to-end: framing the problem, aligning stakeholders, designing the technical approach, driving implementation, and validating on-road impact. Your work will influence not only individual algorithms, but also the architecture, interfaces, and evaluation strategies that enable the planning stack to scale.

You will work across Planning, Perception, Simulation, Systems, and related teams to create cross-functional solutions to some of the hardest problems in autonomous trucking. You should be excited to combine deep technical judgment with hands-on execution, using data from real-world operation to improve safety, driving quality, and system performance.

In this role, you will

• Lead the design and deployment of behavior and motion-planning capabilities for complex real-world driving scenarios
• Own ambiguous technical problems from concept through production rollout and iterative refinement
• Shape the architecture, interfaces, and requirements across planning-related systems
• Translate high-level driving goals into robust algorithms, cost functions, and performance-critical production code
• Drive improvements in planning quality, prediction integration, latency, and overall system reliability
• Build and influence evaluation frameworks, tooling, and workflows that turn real-world logs into measurable autonomy improvements
• Provide technical leadership across cross-functional efforts and raise engineering quality through strong design and code reviews
• Mentor other engineers and help guide technical direction within the team

What you’ll bring

• Deep background in robotics, motion planning, optimization, controls, or related fields
• MS, PhD, or equivalent experience in a technically rigorous domain
• 6+ years of experience building production software, including substantial experience in C++
• Proven track record of owning and delivering complex technical projects with real-world impact
• Strong systems thinking and the ability to work effectively across software boundaries and organizational interfaces
• Excellent technical judgment, communication, and collaboration skills
• Ability to balance long-term design quality with fast, pragmatic iteration in a production environment

Bonus points if you have

• Experience shipping autonomy or robotics software on real vehicles or robotic platforms
• Strong knowledge of motion planning, trajectory optimization, prediction, optimal control, or related areas in the autonomous systems
• Experience working on real-time, performance-critical systems
• Experience building evaluation, debugging, and data-analysis tools for autonomy or robotics stacks
• Track record of mentoring engineers and leading technical direction across projects

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and  MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)

About the Role:

Planet is developing the next generation of small satellite buses, featuring high-resolution optical imaging payloads, a space-based data center connected by optical inter-satellite links (OISLs), and high-speed RF/Microwave communication links. We continuously iterate on and develop small spacecraft communication systems—including board-level hardware, antennas, and ground station equipment—to achieve record data rates and link performance. Our system utilizes proprietary and industry-standard modems, transceivers across several bands, optical laser communication systems, and a worldwide network of ground stations.

We are seeking an experienced Satcom Modem Engineer to develop and mature our next-generation onboard satcom links, ground radios, and antenna systems, pushing the frontiers of satellite communications. You will architect, design, simulate, implement, and validate cutting-edge software-defined Satcom radios. Responsibilities include characterizing the SDR link performance of Planet’s next-generation S through Ka-band and optical terminals, selecting vendors, and managing subcontractors for Satcom solutions. You will facilitate and conduct rigorous testing on space and ground communication subsystems to ensure flight readiness. Success requires close collaboration with RF, EE, Flight SW, systems engineering, missions, and manufacturing teams.

The ideal candidate thrives in an agile, fast-paced environment and is comfortable with ambiguity.

This is a full-time, hybrid role which will require you to work from our San Francisco office 3 days per week.

Impact You'll Own:

• Develop GnuRadio-based ground modem solutions.
• Architect, design, and verify space segment software-defined radios and modems.
• Lead on-orbit performance validation for end-to-end satellite communications systems.
• Lead RF/MW/Optical Communications system integration and testing.

What You Bring:

• Strong experience with DSP algorithms, digital communication theory, and implementation (including digital modulation, synchronization, error correction, floating-point, and fixed-point design).
• Experience with Software Defined Radios (SDR), specifically GNU Radio and Linux development tools.
• Experience defining and measuring radio performance metrics in real time (e.g., SNR, BER, PER, and constellation visualization).
• Experience with state-of-the-art RF System-on-Chip (SoC) implementations.
• BS in Electrical/Computer Science or equivalent experience with a focus on digital communicatons.

What Makes You Stand Out: 

• MS or Ph.D. in Electrical Engineering with a focus on digital communications.
• Expertise in Matlab and Simulink for modem design.
• Experience with SDR platforms and associated signal processing libraries (e.g., GNURadio).
• Proficiency in Linux, Python, and data analysis tools.
• Experience with optical communications and links for space applications.
• Expertise in Radar and/or Phased Array technology.

Application Deadline:

August 1, 2026 at 11:59pm PST

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

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

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

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

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

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

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

Req ID: 2263171228

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

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

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

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

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

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

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

Req ID: 1263064630

Functional Safety Engineer, Energy Storage

Redwood Materials is pioneering a sustainable circular economy for lithium-ion batteries by transforming recycled materials into critical inputs for energy storage and next-generation battery technologies. We are seeking a motivated and experienced Functional Safety Engineer to join our team and play a key role in ensuring compliance with functional safety standards and advancing the safe deployment of new energy storage system (ESS) technologies. 

Responsibilities will include: 

• Functional Safety & Compliance: Lead compliance activities for ESS functional safety with a focus on UL 1998 (Software in Programmable Components), UL 991 (Tests for Safety-Related Controls Employing Solid-State Devices), and UL 5500 (Remote Software Updates). Support certification efforts and align product development with functional safety requirements
• Standards Application & Development: Apply safety principles and methodologies to ESS hardware and software. Facilitate and lead the development of FMEA’s, hazard analyses, safety cases, and test strategies. Represent Redwood in standards development activities to help shape emerging requirements for ESS functional safety
• Certification Management: Work with certification bodies (NRTLs) to establish and manage compliance programs for new technologies, ensuring timely approvals to support product introduction milestones. Partner closely with engineering and product teams to integrate safety requirements into development cycles
• Team Support & Alignment: Translate complex safety standards into actionable requirements for cross-functional teams. Provide technical guidance on functional safety practices and address feedback to align product designs with compliance needs
• Risk Management: Develop, document, and execute hazard mitigation and validation strategies. Support testing and verification activities to ensure system safety performance. Coordinate with internal and external stakeholders to resolve compliance and safety issues proactively
• Stakeholder Collaboration: Collaborate with engineering, manufacturing, and product design teams to streamline compliance and safety processes for ESS. Maintain strong relationships with certification bodies and industry partners to stay ahead of evolving safety requirements

Desired Qualifications: 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, or related field 
• Hands-on experience in embedded software development, ideally within safety-critical or regulated environments
• Preferred experience developing or working directly with microcontroller-based systems, including low-level software or firmware
• Proficiency in C for real-time embedded systems
• Strong background in UL 1998, UL 991, and UL 5500
• Familiarity with international functional safety standards such as IEC 61508, IEC/UL 60730, ISO 26262, or ISO 13849 (preferred)
• Experience working with Energy Storage Systems, power electronics, or safety-critical systems
• Demonstrated ability to apply functional safety methodologies (e.g., hazard analysis, safety cases, V&V planning)
• Experience managing compliance or certification processes with third-party testing/certification bodies
• Strong organizational skills, with high attention to detail
• Excellent communication skills, with the ability to explain complex technical requirements to diverse stakeholders
• A passion for sustainability and making the world a better place!

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

This is Engineering at Lattice

At Lattice, we build software that helps people and organizations thrive. Our engineering team values maintainable systems, strong collaboration, and thoughtful product experiences.

As we expand AI-powered capabilities across our platform, security is a core part of how we design, build, and operate our product. Our Product Security team partners closely with engineering to ensure we ship features that are secure by default and resilient in production.

What You Will Do

You will work closely with product and platform engineering teams to improve the security of Lattice’s applications and services.

Product Security & Engineering Partnership

• Partner with engineers to identify, triage, and remediate security issues in product features and services
• Participate in security reviews and threat modeling for new features and systems
• Perform security-focused code reviews and help identify common vulnerabilities
• Contribute to secure-by-default patterns, libraries, and tooling in our TypeScript-based stack

Security Tooling & Operations

• Help implement and operate security tooling (SAST, DAST, dependency scanning, etc.)
• Support vulnerability management workflows, including internal findings and bug bounty reports
• Assist in investigating security issues and assessing risk and impact

Cloud & Platform Security

• Collaborate with platform and infrastructure teams to improve application and cloud security posture
• Contribute to improving security practices in AWS-based environments

AI/LLM Security

• Assist in identifying and mitigating risks in AI/LLM-powered features, including prompt injection, data leakage, and unsafe output handling
• Apply emerging best practices (OWASP Top 10 for LLM Applications) to real product use cases

Security Enablement

• • Contribute to security guidance, documentation, and training for engineering teams
  • Help improve how security is integrated into the development lifecycle

What You Will Bring to the Table

Experience that is important for you to have at some level:

• 1–3+ years of experience in product security, application security, or software engineering
• Experience writing and maintaining code in JavaScript/TypeScript (or similar languages like Python or Ruby)
• Familiarity with common web and API vulnerabilities (e.g., OWASP Top 10)
• Exposure to security testing tools (SAST, DAST, dependency scanning, etc.)
• Experience working in or with cloud environments (AWS or similar)

Technical Approach

• Ability to identify common security risks and suggest practical mitigations
• Understanding of secure coding practices and basic security controls
• Interest in how security decisions impact real-world product systems

Collaboration & Growth

• Strong communication skills and ability to work closely with engineering teams
• Willingness to ask questions, learn quickly, and take ownership of well-scoped problems
• Ability to contribute to team discussions and share security context effectively

Experience that would be nice to have:

• Experience with modern web architectures (Next.js, NestJS, GraphQL)
• Familiarity with containerization or Kubernetes
• Experience or interest in AI/LLM security, including

----

The estimated annual cash salary for this role is $116,500 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Internet and Phone Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget

*Note on Pay Transparency:

Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience.

Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

#LI-remote

As a Security Engineer you will identify and drive impactful projects to improve the security of Figma’s product, platform, and IT systems. We are hiring for multiple teams within Security Engineering: AI Security, Platform Security, Product Security, and Anti-Abuse. This is a remote first role. 

You will partner closely with teams across the company and focus on systemic security improvements and risk reduction. You will also participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response.

Examples of what you may work on across teams:

AI Security

• Perform technical security assessments, code audits, and design reviews for new AI infrastructure, platforms, and products.
• Design and develop technical solutions to secure AI models, tooling, debugging workflows, and data pipelines.
• Advocate for secure practices across Figma’s AI infrastructure, platforms, and data systems.
• Build the next generation of internal AI-powered access insights and security tooling.
• Help run penetration testing and offensive security exercises against Figma’s AI infrastructure, platforms, and products.

Platform Security

• Perform technical security assessments, code audits, and design reviews for changes to Figma’s cloud and corporate infrastructure.
• Design and develop solutions to prevent or mitigate cloud and corporate security risks.
• Advocate for secure practices within Figma’s cloud and corporate infrastructure.
• Build platforms and tooling to detect and respond to infrastructure and corporate security threats.

Product Security

• Perform technical security assessments, code audits, and design reviews for new product features.
• Design and develop solutions to prevent or mitigate product security vulnerabilities.
• Advocate for secure development practices across Figma’s products and services.
• Help run penetration testing, offensive security exercises, and support our bug bounty program.
• Help respond to product security incidents.

Anti-Abuse

• Design and build technical systems to prevent spam, fraud, and abuse.
• Partner closely with product teams to identify and address potential abuse vectors.
• Develop new signals and improve the use of existing signals to detect abusive behavior.
• Help respond to spam, fraud, and abuse incidents.

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

We’d love to hear from you if you have:

• 5+ years of proven engineering experience working in either a Security Engineering or a Software Engineering role. In the case of the latter, some security experience is preferred.
• Strong security judgment in threat modeling and risk prioritization and/or strong technical judgment in designing and building maintainable, scalable systems.
• Proficiency in at least one general-purpose coding language.
• Strong communication and interpersonal skills, with demonstrated experience collaborating across functions.

While not required, it’s an added plus if you also have:

• Subject matter expertise in Application Security, Cloud Security, Corporate Security, Data Access Governance, and/or IAM (Identity and Access Management).
• Demonstrated ability to make hard prioritization decisions in security controls.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

The Security Governance Team

If you want to be a part of a dynamic, forward-thinking Governance, Risk and Compliance organization focused on building a best-in-class, cutting edge governance program, come join the Security Governance Team at Okta. As a critical foundation of GRC, the Security Governance team’s mission is to provide the documentation, policy adherence, and advisory backbone needed to drive secure operations and behaviors at Okta and position the company as a global leader in security best practices. We are seeking a dedicated and detail-oriented Principal Data Security Engineer to join our team. The ideal candidate will drive Okta’s internal data security strategy and uplift capabilities for safeguarding sensitive information throughout the company.

The Role

The Principal Data Security Engineer will be the business owner of Okta’s data protection tool suite and will be responsible for envisioning, implementing, and maturing data security strategies across Okta, including enforcement of data retention, authoring and implementing data encryption and obfuscation minimums, establishing secure key management best practices, uplifting data handling controls and safeguards, and automating security workflows. This role demands a high level of technical expertise and deep experience with data security applications and services, such as Okta, Crowdstrike, and Palo Alto Networks. This role will work closely with a wide array of internal stakeholders, such as Data Loss Prevention (DLP) Engineering, Defensive Cyber Operations, Defensive Cyber Engineering, and Legal, as well as technology and cloud support teams. This role requires a thorough understanding of DLP technologies such as data security posture management (DSPM), endpoint detection and response (EDR), and cloud access security broker (CASB) as well as significant working experience in the data security and protection domain.

The right candidate will have experience operating in a mature security control environment, will have a strong background in managing mature data security and privacy functions in corporate settings, and will possess a proven track record of successfully implementing complex projects in cross-collaborative teams. The ideal Principal Data Security Engineer will be able to identify and drive appropriate data security strategy that mitigates Okta’s key security risks, including recommending enhancements such as compensating controls and other preventative measures.

The Principal Data Security Engineer will have strong familiarity with security compliance frameworks (e.g., NIST, ISO, PCI) and will be competent in summarizing complex scenarios for management review. If you are a self-starter who wants to make a difference in a global cloud security company, come help us lead the way.

What you'll be doing

• Serve as the business owner of Okta’s data protection tool suite
• Evaluation and implementation of security tools and services
• Design, establish, and implement the strategy for a multi-year data security maturity roadmap
• Identify patterns and trends in data loss incidents to enhance preventative and detective measures
• Collaborate with the Cyber Defense Team and Technology, Data & Intelligence (TDI) Team to realize data security controls within Okta’s data security technology stack
• Oversee and manage the development, implementation, and uplift of DLP rules
• Work closely with technology teams, Legal, Compliance, and other business units to ensure execution of comprehensive data protection strategies
• Provide clear and concise reports and documentation on data loss incidents and resolutions
• Ability to manage complex projects, including identifying dependencies and evaluating impact

What you'll bring to the role

• Bachelor’s degree in Information Security, Computer Science, or equivalent experience 
• 10+ years of experience in information security with a focus on data security and privacy
• Strong understanding of data protection principles and technologies
• Experience with network security, endpoint security, and cloud security solutions
• Certifications such as CISSP, CISA, CISM, or CDPSE are preferred
• Demonstrated experience working in commercial security roles aligned with security compliance frameworks (e.g., NIST, ISO, PCI)
• Experience in building productive relationships and driving collaboration with both technical and non-technical teams
• Clear ability to communicate the desired business outcomes and requirements to technologists building solutions
• Ability to operate effectively in a remote environment
• Self-starting, self-motivated, self-directed, and self-sufficient

Requirements

• Deep understanding of data security, data protection, and data privacy workstreams and related tooling (DSPM, DLP, CASB..etc)
• Demonstrated experience managing projects and data security tool implementations at a large/comparably sized company, ideally in a regulated industry; and/or Big 4 candidates with related engagement experience
• Strong security background; security certification preferred (e.g., CISA, CISM, CISSP, CDPSE)
• Bachelor’s degree or higher in cybersecurity or a related technical focus area and/or equivalent practical experience
• Strategic thinker with strong analytical and critical thinking skills
• Experience managing small teams and/or more junior team members is strongly preferred

#LI-SM1

#LI-HYBRID

P16924_3342877

The Team: AI Frameworks & Services (AIFS)

The way software acts in the world is changing. AI agents don't just respond to users. They take actions, call APIs, hold credentials, and operate across systems on behalf of people and organizations. That shift raises a fundamental question: how do you extend identity to an agent?

The AI Framework & Services team sits within Auth0's AI Products organization and is focused on exactly that problem. We're building the product capabilities that let developers bring identity and authorization into agentic systems, treating agents as real principals with real access controls and real accountability.

This is an early-stage, high-ownership space. The product surface is still being defined, the customer problems are real and unsolved, and the team shapes both what we build and how we build it. We work closely with security, platform, and product partners to deliver capabilities that developers can trust in production.

The Opportunity

As a Senior Software Engineer on the AIFS team, you'll own and deliver product capabilities at the intersection of identity, security, and AI-powered applications. Your primary focus will be backend systems: APIs, services, integration patterns, and the infrastructure that makes access control work reliably at scale. You'll also work across the stack when the product demands it.

You'll work in an environment where the right abstractions aren't always obvious, where customer needs are still crystallizing, and where what you build today may become foundational to how developers authenticate and authorize AI agents tomorrow. If you want real ownership of hard problems in a space that matters, this role is for it.

What You'll Do

• Design and implement backend systems, APIs, and services that bring identity and authorization capabilities to AI agent workflows.
• Own features end-to-end, from technical design through production, with attention to reliability, security, and developer experience.
• Build integrations that allow agents to securely acquire, use, and scope access credentials in real-world environments.
• Contribute to system design decisions, make thoughtful technical tradeoffs, and communicate them clearly to peers and partners.
• Help define patterns and abstractions for problems the industry hasn't fully solved yet: agent identity, delegated access, trust boundaries across agentic systems.
• Instrument and monitor production systems with a bias toward observability, operational health, and fast incident response.
• Collaborate closely with product, security, and platform partners to shape what gets built and how it integrates with the broader Auth0 platform.
• Provide substantive code reviews and mentor teammates in ways that raise the engineering bar across the team.

What You Bring

• Proven experience designing and shipping production-grade backend systems: APIs, services, and integrations that operate at scale under real constraints.
• Strong foundation in one or more backend languages (Node.js/TypeScript, Go, Python, or similar); comfortable with REST and event-driven API patterns.
• Experience building in ambiguous, fast-moving environments where the problem definition evolves alongside the solution.
• A security-conscious mindset: you think about how credentials are handled, how trust is established, and what can go wrong at the integration boundary.
• Strong system design skills. You can scope a feature, identify the tradeoffs, and deliver something that holds up in production.
• Collaborative instincts: you work well across functions, communicate constraints clearly, and help the people around you move faster.
• Comfort operating in a product engineering context, writing code that serves real customers, not just internal tools.

Nice to Haves

• Experience with identity, authentication, or authorization systems (OAuth 2.0, OIDC, FAPI, token-based access control).

• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).

• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.

• Experience with containerized environments (Docker/Kubernetes) and cloud infrastructure (AWS, GCP, or Azure).

• Prior work on developer-facing APIs, SDKs, or integrations where developer experience was a first-class concern.

• Contributions to open-source projects relevant to identity, security, or AI tooling.

Nice to Haves

• Experience with identity, authentication, or authorization systems (OAuth 2.0, OIDC, FAPI, token-based access control).
• Familiarity with AI agent frameworks, orchestration tools, or the Model Context Protocol (MCP).
• Exposure to agentic application patterns: tool use, multi-step workflows, agent-to-agent communication.
• Experience with containerized environments (Docker/Kubernetes) and cloud infrastructure (AWS, GCP, or Azure).
• Prior work on developer-facing APIs, SDKs, or integrations where developer experience was a first-class concern.
• Contributions to open-source projects relevant to identity, security, or AI tooling.

Why You'll Love It Here

This is a team working at the edge of what identity means in a world of AI agents. You'll have real ownership of hard, unsolved problems, backed by Okta's platform, Auth0's developer relationships, and a team that values technical depth and customer impact in equal measure.

You'll help shape the product, not just implement a backlog. You'll work with people who care about getting the details right. And you'll be building something that matters to the developers and organizations trying to do AI responsibly.

#LI-Hybrid

P23579_3266926

The PAM Team

Ever wonder how large organizations make sure the right people can access their most critical systems? That's the problem the Okta Privileged Access Management (PAM)  team solves.

Our solution controls who can reach sensitive servers, databases and cloud resources and grants access only when it's needed. It is the security layer between people (and non-human-identities) and the systems they need to do their jobs.

The Staff Backend Engineer Opportunity

We are seeking a world-class Staff Engineer to help us architect and build the high-performance core of our non-human identity platform.

Your work, in close collaboration with our principal engineers and architects, will be the foundation of our strategy for managing privileged access in the modern enterprise. If you are a systems programmer who thrives on influencing the design of high-performance, concurrent, and resilient security software, this is the role for you.

What you’ll be doing 

• Contribute to Core Architecture: Partner with principal engineers and architects to design and implement a low-latency, high-throughput secrets engine for non-human identities
• Solve for Massive Scale: Write highly concurrent, performance-critical code capable of handling millions of machine-to-machine authentication and authorization requests
• Shape Technical Strategy: Play a key role in defining the long-term technical roadmap for scalability and performance, ensuring our platform can meet the demands of the largest enterprises
• Mentor and Elevate: As a senior engineer on the team, you will work with junior engineers to help them advance their SDLC expertise.
• On-Call: Participate in the rotational on-call activities with SRE and product development team

What you’ll bring to the role

• Required Experience:
  • 8+ years of professional software engineering experience, with a heavy focus on backend or systems-level development
  • Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience
• Core Technical Expertise:
  • Deep, hands-on expertise in multi-platform Go development and building high-performance, concurrent applications
  • Experience designing or operating distributed systems
  • Experience with secure systems (authn/authz, encryption, TLS, token handling, PKI, CAs, diagnosing TLS issues)
  • Deep expertise in distributed storage systems, with a focus on replication, backup, and restore, and data management. (Postgres, etc.)
  • Direct experience designing, building, or contributing to a secrets management, service mesh, or machine identity platform
  • Expert-level at ergonomic API design (gRPC/openAPI), and building for reliability at scale
  • Deep knowledge of cloud-native infrastructure

And extra credit if you have experience in any of the following! 

• Experience at a leading Cybersecurity or Infrastructure-as-Code company
• Contributions to open-source projects in the identity, security, or infrastructure space

(P24952_3419318)

#LI-Hybrid 

#BB-1

The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

#LI-HM2

#LI-Hybrid

P24712_3413650

P24715_3413656

About the Role

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 97M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit redditinc.com.

Reddit is hiring a Staff Product Security Engineer to make the secure path the easiest path for engineers and AI agents. You'll lead the design and delivery of secure frameworks, paved paths, and workflow-native controls that eliminate recurring vulnerability classes before they reach production. As AI-assisted development accelerates code velocity faster than manual review can absorb, this role exists to close that gap structurally — through guardrails, automation, and platform-level prevention that scale with the engineering org.

What You'll Do

• Build and evolve secure frameworks, guardrails, and library-level controls that make common vulnerability classes harder to introduce.
• Design security controls for AI-assisted development — including reusable rule packs and skills that shape how engineers and coding agents generate, review, and ship code.
• Embed security into the workflows engineers already use.
• Drive product security reviews for new launches and major architectural changes.
• Identify and eliminate systemic security debt.
• Shape strategy, influence architecture, and drive execution across teams.

What We're Looking For

• 8+ years of experience in software engineering, product security, or application security, with at least 2 years operating at a staff level of scope and impact.
• Proficiency in one or more languages (Go, Python, JS/TS).
• Experience designing, building, and operating production-quality systems and developer-facing platforms.
• Experience building secure frameworks, libraries, or guardrails that improve security across many teams at once.
• Demonstrated ability to integrate security into developer workflows: CI/CD, code review, release processes, and internal platforms.
• Clear communicator who can explain technical detail and business impact to both engineers and leadership.
• Comfortable in fast-moving environments where AI-assisted development is reshaping how software is built and reviewed.
• Experience with vulnerability discovery and remediation pipelines, including bug bounty or researcher-reported findings.
• Track record of mentoring engineers and raising the technical bar across a security or platform engineering org.

Preferred Qualifications

• Experience securing AI/LLM systems, agentic workflows, or AI-assisted development tooling.
• Familiarity with authentication/authorization systems, cloud-native platforms, and how to secure them.

#LI-Remote

About this role:

The Corporate Security team at Faire owns the tools and policies that keep our people, data, and systems protected. The team's scope includes endpoint detection, data loss prevention, email security, corporate threat detection, compliance training, and AI governance. As our Staff Engineer focusing on Enterprise AI, you will be Security and IT's technical leader for AI systems, partnering with engineering teams in driving AI initiatives to ensure governance, security, and enablement scale alongside adoption. You'll work across every level of the organization, balancing the drive to "Make it happen fast" with the discipline to move safely.

What you'll do:

• Own and drive Faire's company-wide AI strategy in partnership with engineering, business, and executive stakeholders. This means setting the direction for which tools we adopt, how we govern them, and how we scale adoption.
• Serve as the technical authority on AI platform administration for tools like Anthropic and OpenAI. You'll evaluate, enable, and disable native connectors, plugins, and features based on risk, security posture, and business value.
• Build and maintain decision frameworks (e.g., risk matrices, enablement criteria) that make AI governance repeatable and transparent.
• Design and engineer secure experimentation infrastructure, including sandboxed environments, isolated MCP connectors for testing new features, and scoped OAuth flows, so teams can safely explore new AI capabilities.
• Design and build custom MCP integrations when out-of-the-box options don't exist or don't meet Faire's security requirements (e.g., overly broad permissions, insufficient audit logging).
• Lead AI pilot programs end-to-end, from scoping and stakeholder alignment through rollout, troubleshooting, feedback collection, and iteration.
• Engineer observability and compliance infrastructure, ensuring compliance logs from AI platforms end up in our SIEM.
• Own the operational mechanics of AI adoption tracking. This includes automating usage data pipelines into Snowflake and partnering with data analysts and domain teams (engineering, CX, etc.) who own their respective adoption metrics.
• Partner with Learning & Development and engineering teams to build and deliver AI training, prompt libraries, and enablement resources tailored to different roles and workflows.
• Embed with teams across the company to understand their workflows, identify where AI can accelerate their work, and just as importantly, where it shouldn't be used.
• Communicate AI strategy, risk trade-offs, and recommendations clearly to audiences ranging from junior engineers to C-level executives, including respectfully challenging perspectives when the data warrants it.
• Stay current with the rapidly evolving AI product landscape and proactively assess new capabilities (e.g., new platform features, agent frameworks) for security implications and business value.

What it takes:

• 7+ years of experience in security engineering, platform engineering, infrastructure engineering, or IT engineering.
• Experience building and presenting decision frameworks, risk assessments, or strategy recommendations to senior leadership.
• Ability to operate independently, setting your own strategy, building stakeholder relationships, and executing with minimal oversight.
• Strong communication skills across a wide range of audiences, from mentoring junior engineers to partnering with executives in strategy discussions.
• Proficiency in at least one object-oriented programming language (e.g., Python, Go, Ruby, Java) with the ability to build integrations, tooling, and automations from scratch.
• Hands-on experience administering or deeply integrating with AI/LLM platforms. Not just using them, but managing them at the platform level (e.g., building MCP servers, extending LLM functionality, managing enterprise AI admin consoles).
• Experience designing scalable internal systems and infrastructure. You think about solving categories of problems at the platform level, not building one-off solutions.
• Track record of owning company-wide programs that delivered measurable impact to downstream users or the business.
• Experience with observability or SIEM tooling (e.g., Datadog, Splunk) and building data pipelines for monitoring and compliance.

Nice to have:

• Understanding of LLM internals, including transformer architectures, tokenization, context window management, RAG patterns, prompt engineering techniques, and the security risks inherent to each (e.g., prompt injection, data leakage through context, output manipulation).
• Prior experience in an AI governance, AI enablement, or AI strategy role.
• Experience with observability or SIEM tooling (e.g., Datadog, Splunk) and building data pipelines for monitoring and compliance.
• Familiarity with security and compliance considerations specific to AI tooling, such as data residency, DLP policies for AI-generated content, agent access controls, and OAuth scoping for third-party integrations.
• Experience building internal enablement programs, whether training courses, documentation, or developer advocacy, that drove measurable adoption of new tools or practices.

Salary Range:

San Francisco: the pay range for this role is $204,000 - $280,500 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.

About the Role:

We're hiring a Principal Engineer to serve as a Technical Lead across multiple teams in the Money Group – Gusto's fastest-growing organization and a cornerstone of the company's transformation into the Small Business Finance Platform. 

You'll define the long-term technical vision for systems that power cash flow management, lending, expense controls, invoicing, payments, and tax optimization (something about consumer financial health?)– ensuring the architecture scales as we grow. This role spans strategy and execution: setting architectural direction across 5+ teams, vetting external partners, prototyping new product lines to unblock product decisions, extracting services from our monolith, and mentoring the engineers around you. You'll be the person who fills whatever role the group needs to hit its goals – from hands-on coding to strategic planning to unblocking other teams.

If you're excited about building financial infrastructure with real impact on the people and businesses that power the modern economy, we'd love for you to join us.

About the Team:

Money is Gusto's fastest-growing group, building financial products for both sides of the employment relationship. For small businesses, we're extending the category of employer-facing financial services – bill pay, invoicing, working capital, expense cards, and cash flow insights that help SMBs get paid faster and pay others with confidence. For employees, we build tools that reduce financial stress: on-demand pay, high-yield cash accounts, automated savings, and credit-building features. This is a deeply technical domain spanning payments infrastructure, lending, multi-party integrations, and mobile-first experiences – with the complexity and scale to match.

Together, these teams are building toward a unified financial operating system for small businesses – accounting, banking, payments, lending, and tax – all connected to Gusto's payroll and people platform.

Our unique advantage is Gusto's authority over payroll data, which we leverage to build a payroll-confidence engine no standalone fintech can replicate.

Here’s what you’ll do day-to-day:

• Serve as a Technical Lead across multiple teams in the Money Group – setting architectural direction, unblocking engineers, and ensuring high-quality delivery aligned with long-term goals.
• Define the north-star architectural vision for the Money Group and continuously identify shorter-term projects that move us toward it.
• Architect the convergence of Gusto's People Stack (payroll, HR, benefits) and Finance Stack (banking, accounting, payments, lending) into a unified platform for small businesses.
• Lead service migration from a large Ruby-on-Rails monolith into a service-oriented architecture, defining clean domain boundaries across money movement, lending, and tax.
• Lead technical due diligence – evaluating codebases, data models, and engineering teams for compatibility with Gusto's platform.
• Manage a complex partner ecosystem.
• Build prototypes and proofs-of-concept to de-risk new ideas and unblock product decisions quickly.
• Tackle complex, ambiguous problems in close partnership with Product Management, Design, Data Science, Compliance, and Operations.
• Drive AI-native architecture decisions – from LLM-powered transaction categorization and tax optimization to conversational financial management experiences.
• Act as a technical consultant across all Money sub-teams – Consumer, Business, Tax Credits, Payments – ensuring architectural coherence across the group.
• Set the bar for technical excellence – through code, design reviews, and the standards you hold the group to.
• Mentor fellow engineers, contribute to the growth of senior and staff engineers, and help build healthy, high-performing teams.

Here’s what we're looking for:

• 15+ years of software engineering experience (successful applicants typically meet or exceed this).
• Deep expertise in distributed systems, particularly in payments or fintech – including data modeling for financial systems, consistency guarantees for money movement, and compliance-aware architecture.
• Proven track record of engineering, scaling, and operating large, interconnected production systems.
• Experience setting long-term technical vision and driving multi-year architectural transformations – not just executing migrations, but identifying the right boundaries, sequencing the work across teams, and ensuring strong technical stewards drive execution.
• Experience working across multiple teams, influencing both technical direction and product strategy. Demonstrated ability to own group-level OKRs and be accountable for the technical strategy that delivers them.
• Experience navigating decisions for core infrastructure, particularly in fintech – evaluating APIs, negotiating technical contracts, and leading integration from evaluation through production.
• Ability to bring clarity to complex problems – communicating technical tradeoffs to non-technical stakeholders, identifying significant risks or opportunities before others, and driving decisions.
• A track record of raising the technical bar – through code quality, design rigor, testing and security best practices, and the standards you set for those around you.
• A track record of filling whatever role the group needs – from hands-on prototyping to strategic planning to firefighting – with a bias toward action.
• Experience in complex, highly regulated domains (e.g., fintech, payments, banking, lending,

Our cash compensation for this role is $214,000-$260,000yr in Denver & most major metro locations, and $250,000-$300,000yr in San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above.

We are looking for a Corporate Security Engineer to grow our rapidly expanding Security team here at Asana. You will be leading initiatives to help keep Asana’s Corporate environment and users safe.

The security team is responsible for protecting Asana’s employees, users, and customers. We are a team of security engineers and risk and compliance practitioners who build innovative safeguards to ensure that our data is protected against threats and that we comply with legal, regulatory, and customer requirements. We collaborate closely with teams across the organization to foster a culture of security throughout our product and operations.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Lead initiatives across key security domains, including Endpoint Security, SaaS Security Posture Management (SSPM), Identity & Access Management (IAM), Identity Governance, and data-loss prevention
• Collaborate closely with IT, engineering, and business stakeholders to integrate security tools, policies, and processes into corporate systems and workflows, enabling secure-by-design implementations
• Design and build automation scripts and tools to streamline security workflows, collect actionable metrics, and enforce security policies at scale.
• Develop and implement strategies and tooling for Data Loss Prevention (DLP) and the mitigation of insider risks within Asana.
• Partner with our Incident Manager and provide subject matter expertise for incident response. 

About you:

• 4 years experience in a Corporate Security or IT Security
• Familiarity with Identify and Access Management, Authentication & Authorization, Endpoint management, and Network Security Controls.
• Strong understanding of security concepts including zero trust architecture, threat modeling, security frameworks (SOC 2, ISO 27001) and CIS Controls. 
• Experience in implementing Data Loss Prevention tooling and insider risk programs. 
• Some experience writing and maintaining scripts in at least one language such as Python.
• Experience with Okta, Google Workspace, osQuery and EDR solutions. 
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer:

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $194,000 - $220,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid #LI-AA1

We are dedicated to ensuring proactive elimination of entire classes of security risk by engineering the core libraries, platforms and frameworks that provide secure guardrails for all Asanas.

We are looking for a Senior Software Engineer to join our new Security Development team. This team is focused on building durable, secure-by-default solutions to protect Asana's infrastructure and product. Instead of acting as gatekeepers, we build guardrails that empower engineering teams to move quickly and safely. You will be responsible for engineering preventative controls at scale, focusing on building platforms and frameworks that eradicate systemic risks.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Design, build, and maintain secure-by-default frameworks, libraries, and platforms to eliminate entire classes of vulnerabilities.
• Engineer and improve core security services, including our access control frameworks, secrets management infrastructure, and AWS permissions systems.
• Develop and own the platform for vulnerability remediation, creating tooling that empowers engineering teams to address risks efficiently.
• Partner with product and  infrastructure teams to architect and implement foundational security controls for Asana including cloud networking, and compute infrastructure.
• Partner with product teams to effectively offer recommendations for how to secure projects at all phases of implementation (design, development, launch, and/or incidents)
• Influence engineering initiatives through design reviews, communicating security principles, and helping teams make sound security trade-offs.

About you:

• 4+ years of experience in full-time professional software development, working with large codebases.
• Proven software engineering experience, with a background in building platforms, libraries, or core infrastructure.
• Strong interest or direct experience in security engineering, with a focus on building preventative controls.
• Expertise in programming and computer science fundamentals.
• Experience with cloud infrastructure and services, particularly AWS.
• Excellent communication skills for collaborating effectively with engineering teams across the organization.
• A proactive mindset geared towards identifying and eliminating systemic risks, not just individual bugs.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $202,000-$230,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

The Security team ensures that our users, employees, and platform are protected from malicious activity and accidental data exposure. We build secure-by-default systems, frameworks, and tooling that enable engineering teams to ship fast without compromising trust. Our focus includes least-privilege access, scalable detection and alerting, automation to eliminate entire classes of risk, and security that grows with the business.

We are seeking a Principal Security Engineer to provide technical leadership and execution across a complex, global, high-growth SaaS environment. This is a senior individual contributor role reporting to the Head of Security, with accountability for defining security architecture, setting technical direction, and driving cross-company alignment between Security, Engineering, Product, and Executive leadership.

You are both a strategist and a builder: setting long-term vision while remaining deeply hands-on with system design, security architecture, and critical incidents.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Define and deliver the Security Engineering technical strategy and multi-year roadmap aligned with Asana’s product, platform, and business priorities.
• Raise the technical bar across security engineering through design and risk reviews, hands-on mentorship, and clear standards.
• Partner with senior leaders across Engineering, Product, and Infrastructure to improve Asana’s overall security posture.
• Develop security policies, processes, and procedures that scale with a growing, global engineering organization.
• Help grow the security engineering team through recruiting and interviewing.
• Stay ahead of the threat landscape and support teams building new features and technologies to ensure they are secure by design.

About you:

• 10+ years in a security-related engineering role, with 3+ years in a staff or principal-level role.
• Experience as a technical lead across multiple teams, influencing direction beyond direct ownership.
• Strong software engineering background, with the ability to engage deeply in system design, security architecture, and complex technical trade-offs.
• Deep understanding of application and platform risks (e.g., OWASP Top 10), identity and access controls (OAuth, OIDC, SAML), and modern attack patterns.
• Significant, hands-on experience securing cloud environments at scale, especially AWS.
• You excel at evaluating security trade-offs, making pragmatic, risk-informed decisions, and communicating those decisions clearly to technical and non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $336,000 - $395,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

System Modeling Engineer, Redwood Energy 

You will be an early member of a new engineering team, taking a hands-on role in the design, development, and integration of a new product. This position focuses on developing Multiphysics modeling platform to drive the system design of a novel energy storage system. These models must be robust enough to support multiple users, but agile enough to quickly drive a diverse array of design decisions. 

The ideal candidate is highly self-driven, adaptable to a startup environment, and eager to take on novel technical challenges. If you’re excited about working in a dynamic, fast-paced setting within a new department at Redwood, we want to hear from you! 

If necessary, the job level will be adjusted to suit the applicant’s experience and responsibilities. 

Responsibilities will include: 

• Contribute to Redwood Material’s in-house performance and technoeconomic model. 
• Drive architectural studies to explore the cost and performance design space. 
• Produce component-level sensitivity analysis to allow component owners to make globally optimal cost and performance tradeoffs. 
• Utilize the models to produce repeatable and dependable results for various stakeholders within the organization to drive product architecture and site-specific deployment decisions. 
• Parallelize our modeling framework to utilize cloud computing resources to get results faster. 
• Lead model validation efforts by writing test plans, working with test engineers to execute the test, and using the data to correlate the model. 
• Effectively communicate modeling results to drive architecture and performance initiatives. 

Desired Qualifications: 

• An MS or PhD in Mechanical Science, Electrical Engineering, or a related field. Or a BS and 2+ years of related work experience. 
• Excellent first-principles physics understanding of electrical and mechanical systems, power delivery, energy storage and transformation, and basic thermal mechanics. 
• Experience collaborating in software projects with multiple contributors. 
• Hybrid or electric powertrain model development, PV model development, or data analysis in Python or MATLAB/Simulink. 
• Familiarity with basic controls techniques, such as filters, PID controllers, and system identification. 
• Experience with optimization techniques. 
• Demonstrated ability to write clear and testable engineering requirements. 
• Strong communication and collaboration skills. 

About the Role

Anthropic is bringing Claude to democracies worldwide, and we’re looking for startup-minded engineers to build out our public sector engineering team. Engineers in this role will be working across the stack to scale our products from 0 to 1 and beyond. 

While we’re looking for candidates with prior public sector experience, we are also excited about hiring product-minded engineers with a track record of building and scaling products. There’s no shortage of things to build, so startup experience will help in maintaining a sharp focus and plotting an optimal path forward. This role is full-stack and entrepreneurial: you’ll own projects such as building out deployments for new government customers, implementing products to better surface critical information, and working directly with customers to understand how we can best leverage and adapt Claude to power their workflows.

You’d be joining at an exciting inflection point where we are evolving past deployments of basic Claude access for the public sector and toward cutting-edge AI capabilities and a comprehensive public sector experience. The projects the team tackles enables governments to deploy AI applications for their most critical operations—from national security to public services. As the team continues to grow, our focus includes delivering solutions that directly influence how democratic institutions deploy and use advanced AI systems.

Core Responsibilities

• Build specialized AI applications and products for governments by developing deep understanding of their processes and workflows

• Take ownership of architecting new deployments and designing public sector specific features

• Collaborate closely with research on AI models for government applications and workflows

• Partner directly with government customers and internal go-to-market teams to translate requirements into technical and product roadmaps

• Design and build scalable systems for deployment, user management, and administrative controls

• Create clarity and technical direction in a fast-moving environment with unique constraints

You Might Be a Good Fit If You:

• Have 8+ years of experience as a full stack software engineer

• Experience integrating and working with AI/ML models and understanding their capabilities

• Strong technical background with proven success building and shipping enterprise or government-grade products

• Have excellent collaboration skills, with ability to work effectively across functions

Strong Candidates May Also Have:

• Startup experience, particularly in scaling products from zero to one

• Experience partnering with sales, customer success, and professional services teams to drive product adoption

• Experience delivering software to government networks

• Active federal security clearance (Secret or above)

This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance.

About the Role:

CoreWeave is seeking a Staff AI Security Engineer to define and operationalize security across our AI ecosystem. This role sits at the intersection of AI/ML, cloud infrastructure, and security engineering. You'll build secure-by-default foundations for AI development, agentic workflows, and enterprise AI adoption, balancing velocity with strong security guarantees. You will also partner closely with enterprise security and IT teams to manage AI-adjacent risks across the corporate environment, including shadow AI, data exfiltration through AI tooling, and SaaS security posture for AI-enabled platforms.

What You'll Do:

• Design and implement security controls across AI/ML infrastructure, including model artifact storage, data lineage and integrity, model signing and provenance, and ML pipeline security (MLOps/MLSecOps)
• Develop AI security policies, standards, and threat models covering model development, training pipelines, data ingestion, inference environments, and agentic systems
• Build security guardrails for agentic workflows: tool access and permissioning, input/output validation, execution boundaries, sandboxing, and auditability of agent actions
• Lead secure adoption of AI tools across engineering, security, operations, and enterprise functions. Evaluate AI vendors, copilots, and integrations. Define policies for data sharing, model usage boundaries, and sensitive data handling in prompts and outputs
• Partner with enterprise security and IT on AI-related risks across the corporate environment, including endpoint posture, corporate identity, and SaaS security for AI-enabled platforms
• Conduct threat modeling and adversarial testing of AI systems, covering prompt injection, data poisoning, model extraction, and backdoored models. Build and maintain a CoreWeave-specific AI threat taxonomy
• Drive cross-team technical decisions and influence architecture across platform engineering, security engineering, ML/AI teams, and product/DevEx to embed security into AI platforms and developer tooling

Who You Are:

Minimum Qualifications

• 10+ years of experience in security engineering (cloud, application, or infrastructure)
• Experience with AI/ML systems: LLMs, training pipelines, inference systems, or MLOps
• Strong, demonstrable experience building and securing large-scale distributed systems
• Strong coding skills in Go, Python, or similar
• Familiarity with Kubernetes, containerized environments, and cloud platforms (AWS, GCP, Azure)
• Understanding of AI-specific threats: prompt injection, data leakage, model misuse, supply chain risks in models and datasets
• Track record of driving cross-team technical initiatives and influencing architecture decisions at the org level

Preferred:

• Experience building or securing LLM-based systems, agent frameworks (LangChain, etc.), or AI-powered internal tools
• Background in adversarial ML or red teaming AI systems
• Experience with secure model deployment pipelines or confidential computing / secure enclaves
• Familiarity with identity and access control systems
• Experience in high-performance or GPU-centric environments
  
  

Why CoreWeave?

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

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

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

The base salary range for this role is $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:
CoreWeave is seeking a highly skilled and motivated Systems Engineer to join our People Systems team. In this role, you will be a key contributor to the design, implementation, maintenance, and optimization of our critical HR systems landscape including but not limited to Workday, Greenhouse, Lattice, CultureAmp. You will leverage your deep technical expertise and understanding of HR processes to ensure the stability, security, and efficiency of our HR technology solutions, supporting our global workforce. You will be a trusted advisor, collaborating with HR, finance, payroll stakeholders, IT teams, and vendors to deliver innovative and scalable solutions that meet the evolving needs of our organization.

• Design, implement, and configure HR systems, including Workday HCM (Human Capital Management, Time Tracking, Absence, Benefits), Payroll, and other related platforms.
• Act as a subject matter expert (SME) to drive system enhancements and process automation.
• Partner with HR, Finance, IT, and business stakeholders to analyze business requirements and translate them into Workday solutions.
• Manage Workday security roles, user permissions, and compliance configurations.
• Develop and maintain Workday reports, dashboards, and analytics to support business needs.
• Configure and maintain Workday business processes, workflows, and integrations.
• Participate in Workday system upgrades, testing, and release management.
• Troubleshoot and resolve Workday system issues, working with internal teams and Workday support.
• Provide training and documentation for end-users and stakeholders.
• Stay updated on Workday enhancements, trends, and best practices to optimize system performance.

Who You Are:

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• 5+ years of experience supporting HR systems, with hands-on experience in Workday HCM, Time Tracking, Absence, Benefits and Payroll.
• Experience with Workday reporting, security, business processes, and integrations.
• Familiarity with EIBs, Calculated Fields, and Workday Web Services (REST/SOAP APIs) is a plus.
• Experience participating in system implementations, enhancements, or optimization initiatives.
• Strong analytical, problem-solving, and communication skills.
• Experience with HRIS governance, SOX controls, or automation tools is a plus.

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 work across complex HR systems and solve integration challenges end-to-end
• You’re curious about optimizing HR technology, automation, and scalable system design
• You’re an expert in Workday configuration, reporting, and HRIS data management

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).

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:

We are seeking a Product Manager, Security & Identity to own the roadmap and delivery of CoreWeave’s workforce security and identity platforms across IT Infrastructure and Operations. In this role, you will focus on identity and access management, secure collaboration, endpoint/VDI, and SaaS governance. You will partner closely with IT Engineering, Security, People, and Compliance to make access secure by default, reduce friction in onboarding and offboarding, and improve the overall employee experience.

About the role:

You will translate requirements from Security, Compliance, IT, and business stakeholders into clear product outcomes across platforms such as Okta, Opal, VDI, MDM, Google Workspace, Slack, Zoom, and other SaaS applications. You will help convert the existing Staff IT Systems Engineer responsibilities into scalable, measurable product capabilities that align with the IT Infra and Ops charter.
Own the product vision, strategy, and roadmap for IAM and security-aligned IT infrastructure, including Okta, access governance, endpoint management, and VDI, aligned to IT Infra and Ops priorities.

• Act as a primary product partner and escalation point for Engineering and Security on identity, access, and secure remote access, helping prioritize and resolve high-impact issues.
• Define and improve end-to-end joiner, mover, and leaver flows, ensuring user provisioning, de-provisioning, and access changes are secure, automated, and reliable.
• Establish standards for SSO integrations and app onboarding and offboarding in Okta, working with engineers to onboard new applications, deprecate legacy patterns, and maintain a consistent SSO experience.
• Design and roll out access policies, baseline RBAC, and Just-in-Time and time-bound access patterns in partnership with Security, Compliance, and IT Engineering, with clear controls and auditability.
• Own the VDI and secure remote access experience as a product surface, partnering with engineering on performance, reliability, and hardening, and defining SLIs, SLOs, and incident playbooks.
• Collaborate with Security, People, and IT to define automated onboarding and offboarding processes that cover identity, devices, collaboration tools, and privileged access.
• Define requirements for automation, policies, and scripts using vendor APIs to manage company devices and SaaS services such as Google Workspace, Slack, Zoom, and MDM tools.
• Partner with IT Infra and Ops and Finance to support asset and SaaS lifecycle management, including inventory visibility, licensing utilization, and access governance for endpoints and applications.
• Ensure documentation, runbooks, and training material for IAM, VDI, and related security and IT processes are accurate, accessible, and kept up to date for internal employees and IT staff.
• Build strong relationships with IT Engineering, Security, Compliance, People, and business stakeholders, with clear intake, prioritization, and communication around roadmap, tradeoffs, and delivery.
• Define and track key metrics such as time-to-access for new hires, reduction in access-related tickets, SSO coverage, QAR completion, and control failures, and use these metrics to drive prioritization.
  
  

Who You Are:

• 7+ years of experience in IT product management, technical program management, or systems engineering roles focused on SaaS, identity, security, or endpoint platforms.
• Practical experience with administration or close partnership on platforms such as Okta (Identity Engine and Identity Governance), Google Workspace, Slack, Zoom, MDM or endpoint management tools, and VDI solutions.
• Strong understanding of identity and access management concepts and practices, including SSO, federation, RBAC, joiner and leaver lifecycle, privileged access, and quarterly access reviews.
• Experience collaborating with or supporting Microsoft, Linux, and Mac user environments, especially for secure access, device management, and productivity tooling.
• Demonstrated experience defining and driving automation workflows and integrations that remove manual IT and security tasks, such as access provisioning, group management, and device or SaaS lifecycle actions.
• Familiarity with CI or CD tools and Git, and the ability to work closely with engineers on configuration, releases, and environment management.
• Comfort working with at least one programming or scripting language, such as Python or Go, at a level sufficient to understand implementation options and tradeoffs.
• Experience partnering with Security and Compliance on access controls, ITGCs, and IT application controls for frameworks such as SOX or SOC 2, including control design and evidence collection.
• Strong written and verbal communication skills, with the ability to translate technical and security concepts into clear product narratives and decisions for both technical and non-technical audiences.

Preferred:

• Experience in high-growth, cloud-native, or security-sensitive environments where identity, access, and endpoint posture are tightly linked to customer and compliance expectations.
• Prior ownership of IAM or security products such as Okta, Opal, CyberArk, VDI, or device management platforms as a product manager or TPM.
• Familiarity with automation and infrastructure-as-code tooling such as Terraform, Ansible, Chef, Intune, Jamf, or similar technologies.
• Experience contributing to or leading M&A-related migrations involving identity consolidation, SSO rationalization, or access model redesign.
• Exposure to AI or agent-based IT support models and interest in using them to reduce IT ticket volume and improve time to resolution.

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 $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:

We are seeking a Senior Security Engineer to build the Vulnerability Management program protecting CoreWeave's AI infrastructure. You will architect intelligent automation systems that defend the GPU clusters powering breakthrough AI research and enterprise AI applications. You'll solve security problems at the intersection of cloud-scale infrastructure and specialized hardware—from GPU firmware vulnerabilities to AI-powered threat detection. This role combines technical depth, strategic thinking, and the autonomy to design workflows that will protect infrastructure driving the future of AI.

About the role:

• Build and scale AI-powered triage workflows: evaluate tools (LLM integration, TINES orchestration), architect solutions, and deploy to production
• Drive intelligent, risk-based vulnerability prioritization while simultaneously training AI models—your assessments become the foundation for automation
• Influence automation priorities: recommend which areas of the vulnerability pipeline would most benefit from automation to improve team efficiency
• Design and implement automated detection-to-ticket pipelines: build workflows that generate vulnerability detections, test them, scale across the environment, and auto-create Jira tickets
• Execute remediation campaigns: build automated workflows for EOL product removal, vulnerable software upgrades, and OS migrations at scale
• Manage embargoed vendor disclosures from hardware partners, including embargo verification and zero-day response coordination
• Lead security incident investigations related to high-profile vulnerabilities, coordinating cross-functional response and impact assessment
• Participate in on-call rotation for rapid-response vulnerability analysis during active zero-day events or critical security incidents
• Partner with IT, Infrastructure, and Engineering teams to drive remediation efforts, enforce SLAs, and escalate blockers strategically
• Write daily operations reports documenting vulnerability trends, remediation velocity, and emerging threats for security leadership
• Drive process improvements and workflow automation to improve operational efficiency and reduce manual toil

Who You Are:

• 7+ years of relevant experience with demonstrated impact in vulnerability management, application security, platform security, or cloud security engineering
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
• Proven hands-on experience building security automation (SOAR workflows, detection pipelines, or vulnerability prioritization frameworks)
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, exploit intelligence, and compensating controls
• Strong development background with proficiency in Python, Go, or similar languages for building production-grade security tools
• Experience with modern vulnerability management tooling such as Wiz, Semgrep, Rapid7, or similar platforms
• Demonstrated ability to partner with cross-functional teams (IT, SRE, Engineering) to drive remediation without formal authority
• Strong familiarity with common security vulnerabilities and the ability to judge their severity and business impact

Preferred:

• Practical experience building AI/ML-powered security workflows (LLM integration, automated triage, human-in-the-loop validation)
• Experience managing hardware security vulnerabilities (GPU/DPU firmware, BMC/IPMI, specialized compute environments)
• Production experience with security automation platforms such as TINES, Splunk SOAR, or serverless frameworks (AWS Lambda)
• Strong DevOps, DevSecOps, or SRE background with experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of container security and Kubernetes (image scanning, admission control, runtime protection, supply chain security)
• Experience supporting customer audits (SOC 2, ISO 27001, FedRAMP) with vulnerability evidence and control validation
• Experience integrating vulnerability management into modern CI/CD pipelines with a "shift-left" mentality

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse 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:

• Architect and build security systems with full ownership, not just maintain existing tools
• Drive cross-functional initiatives and influence without formal authority
• Mentor engineers and see your automation multiply team impact

You're curious about:

• How to apply AI/ML to vulnerability management at cloud scale
• The intersection of hardware security and cloud infrastructure
• What makes security automation that engineering teams actually adopt

You're an expert in:

• Risk-based vulnerability prioritization and threat modeling
• Building production-grade security automation (SOAR, detection pipelines)
• Balancing security rigor with business velocity

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 the AI hyperscaler, operating infrastructure at a scale and level of complexity required to support the most demanding AI workloads in the world. In this role, you will lead and scale CoreWeave's Platform Security engineering function, owning how security is designed into the Kubernetes-based platform and public cloud environments. This is a hands-on engineering leadership role focused on building and operating security controls, not writing policy. You will define strategy and execution for cloud security posture, workload isolation, platform guardrails, image integrity, and multi-cloud security across CoreWeave's own Kubernetes infrastructure and third-party cloud platforms including AWS, GCP, and Azure. You will lead and grow a team of platform security engineers and partner closely with Infrastructure, Platform Engineering, SRE, and other security teams to ensure platform security capabilities scale alongside the business. This role reports to the Senior Director of Security Foundations.

About the role:

CoreWeave delivers GPU-accelerated infrastructure purpose-built to support the most demanding AI and machine learning workloads in the world. Our platform is designed for extreme performance, scale, and reliability, supporting frontier AI development across a rapidly expanding global footprint.

As CoreWeave continues to scale, securing the platform layer that underpins customer workloads and internal services is a critical foundation for the business. Platform Security at CoreWeave is an engineering discipline focused on building and operating systems that enforce security at the infrastructure layer across both our Kubernetes-based platform and third-party public cloud environments.

The team owns the technical design, implementation, and operation of cloud security posture management, workload isolation, platform-level guardrails, and image integrity controls. This role is responsible for running, evolving, and operating CoreWeave's Platform Security engineering program and team in close partnership with Infrastructure, Platform Engineering, SRE, and other security stakeholders.

Core job duties include, but are not limited to:

• Own the strategy, roadmap, and execution of CoreWeave's Platform Security engineering program across Kubernetes and multi-cloud environments.
• Lead and develop a team of platform security engineers through mentorship, technical direction, and performance management.
• Design, build, and operate security controls for CoreWeave's Kubernetes-based platform, including workload isolation, admission control, runtime policy enforcement, and tenant boundary integrity.
• Drive the security posture of CoreWeave's third-party public cloud environments (AWS, GCP, Azure), including account governance, IAM hygiene, configuration baselines, and automated guardrails.
• Own and mature cloud security posture management (CSPM) capabilities, ensuring continuous visibility and automated remediation across all cloud environments.
• Build and operate image integrity and supply chain security controls, including image signing, provenance verification, and base image governance.
• Partner closely with Infrastructure and Platform Engineering to embed security into the Kubernetes control plane, admission pipelines, and deployment workflows.
• Collaborate with Security Operations on detection, investigation, and response for platform and cloud security incidents.
• Define engineering standards, guardrails, and metrics that scale platform security capabilities with the organization.
• Act as a senior escalation point for platform and cloud security risks, incidents, and complex cross-functional issues.

Who you are:

• You have 5 to 10 or more years of experience in platform security, cloud security, infrastructure security, or adjacent security engineering domains.
• You have 3 to 5 or more years of experience leading or managing engineers, either as a people manager or technical leader with people responsibility.
• You bring strong hands-on depth in Kubernetes security, including admission control, RBAC, network policy, runtime security, and workload isolation patterns.
• You have experience designing and operating security controls across multiple public cloud platforms (AWS, GCP, Azure), including IAM, account governance, and configuration management.
• You prefer building and operating systems over writing policy documents.
• You are comfortable owning ambiguous problem spaces and turning them into clear technical plans and outcomes.
• You communicate clearly and partner effectively across Infrastructure, Platform Engineering, SRE, and Security.

Preferred:

• Experience with CSPM platforms such as Wiz.
• Experience with container image signing and supply chain security tooling (Sigstore, Cosign, Chainguard).
• Experience with infrastructure-as-code tooling, especially Terraform.
• Proficiency with automation or programming languages such as Go or Python.
• Experience with admission control frameworks such as OPA Gatekeeper or Kyverno.
• Experience securing multi-tenant Kubernetes environments at scale.
• Familiarity with security frameworks such as NIST, ISO, or SOC2 in the context of infrastructure and platform 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 enjoy building and scaling security engineering systems, not policy programs.
• You care deeply about developing people and creating healthy, high-performing teams.
• You are energized by enabling a fast-growing business to move quickly and securely.
• You are comfortable operating in ambiguity and making thoughtful tradeoffs.
• You believe platform security should reduce risk while empowering engineers to ship with confidence.

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:

CoreWeave is the AI hyperscaler, operating infrastructure at a scale and level of complexity required to support the most demanding AI workloads in the world. In this role, you will lead network security for the platform, shaping how security is designed into the network foundations that power large scale GPU clusters and distributed AI workloads. You will operate at the intersection of performance, reliability, and isolation, where network design choices have direct impact on customer workloads. You will partner deeply with Networking, Infrastructure, and SRE to influence how next generation network fabrics, overlay architectures, and infrastructure offload technologies are built and operated. You will lead and grow a team of network security engineers while defining how network security scales alongside the platform.

About the role:

• CoreWeave is the leading specialized cloud computing provider, offering GPU accelerated infrastructure for AI, machine learning, and other computationally intensive workloads.
• CoreWeave has rapidly grown into a key player in the AI cloud space and operates large scale infrastructure across multiple U.S. data centers, supporting high performance, latency sensitive workloads for some of the most demanding customers in the world.
• As CoreWeave continues its rapid growth, securing the underlying network that powers this platform is a critical priority.
• CoreWeave operates high performance, HPC grade networking, including InfiniBand fabrics and modern overlay based network architectures, to support large scale distributed AI workloads.
• These environments place unique demands on network security, where performance, isolation, and reliability must be designed together rather than treated as separate concerns.
• This role is responsible for running, evolving, and operating CoreWeave’s network security program and engineering team in close partnership with Networking, Infrastructure, SRE, and other security teams.

Core job duties include, but are not limited to:

• Own the strategy and evolution of CoreWeave’s network security posture across the network fabric, control planes, and edge.
• Partner with Networking to design and secure large scale network architectures, including modern overlay and segmentation based designs such as EVPN, VXLAN, and VRF based isolation.
• Help define and guide the security model for high performance networking environments, including InfiniBand fabrics and other performance sensitive interconnects.
• Guide the security implications of infrastructure offload patterns, including the use of DPUs and SmartNICs for networking and policy enforcement.
• Lead, grow, and develop a team of network security engineers through mentorship, technical direction, and performance management.
• Drive the design and maturity of DDoS mitigation and traffic defense capabilities, balancing in house systems with third party platforms where appropriate.
• Act as an escalation point for complex network security incidents, partnering with detection, response, and reliability teams to improve visibility, automation, and recovery.
• Define and evolve network security standards, guardrails, and metrics that scale with the platform.
• Ensure network security controls support compliance requirements and customer commitments through automation and measurable outcomes.
• Influence secure by design decisions across infrastructure, networking, and security through partnership rather than gatekeeping.

Who you are:

• You have 7 to 12 or more years of experience in network, infrastructure, or platform security within large scale cloud, hyperscaler, ISP, or high performance computing environments.
• You have 3 to 5 or more years of experience leading or managing engineers, either as a people manager or technical leader with people responsibility.
• You have strong foundational knowledge of networking concepts, including TCP/IP, routing, BGP, DNS, TLS, segmentation, and control plane security.
• You have experience securing modern network architectures, including overlay based designs and multi tenant environments.
• You are comfortable reasoning about complex distributed systems and applying sound security judgment in performance sensitive environments.
• You communicate clearly and partner effectively across disciplines, including Networking, Infrastructure, and SRE.
• You bring a pragmatic, systems oriented mindset and are comfortable making tradeoffs in fast moving environments.

Preferred:

• Experience operating or securing high performance or HPC grade networks, including InfiniBand based fabrics.
• Hands on exposure to large scale fabric networking and performance sensitive traffic patterns.
• Experience with DPUs, SmartNICs, or similar infrastructure offload technologies.
• Experience with Kubernetes networking, containerized environments, and CNI based policy enforcement.
• Proficiency with automation or programming languages such as Python or Go.
• Familiarity with security frameworks such as NIST, ISO, or SOC2 in the context of infrastructure and platform security.
• Experience partnering closely with incident response, detection engineering, or reliability teams during complex incidents.

Wondering if you’re a good fit?

We believe in investing in our people and value candidates who bring diverse experiences and strong learning velocity, even if they are not a perfect match on every requirement. If some of the following resonates with you, we would love to talk.

• You enjoy working on complex networked systems where performance, reliability, and security are tightly coupled.
• You are excited by the challenge of securing hyperscale, AI driven infrastructure.
• You are curious about how modern cloud platforms are built and how to secure them pragmatically.
• You are comfortable operating in ambiguity and making thoughtful tradeoffs.
• You care deeply about building strong teams and healthy engineering culture.
• You believe security should enable the platform and the business, not slow it down.

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). 

Enterprise Engineering (Network) designs and operates every layer of CoreWeave's corporate network, including wired and wireless connectivity, audio visual endpoints, remote access and VPN, and the monitoring, automation, and compliance controls that keep it all running. We treat the network as a product: engineered for observability, security, and reliability, and delivered in close partnership with Security, SRE, and the rest of IT.

About the role:

As a Senior Network Engineer, you'll design and operate the enterprise network while making its state visible and measurable. You'll own runbooks and act as the engineering interface to our NOC, coaching operations staff on diagnostics and root cause analysis. You'll also shape our remote access and VPN services and participate in and lead designs that build in compliance and security from the start.

• Make the network's state visible and measurable through monitoring, telemetry, dashboards, and alerting, with KPIs for availability, performance, and capacity
• Lead runbook creation and maintenance, from routine operations to complex incident response
• Serve as the engineering interface to the NOC, coaching engineers on diagnostics and root cause analysis and mentoring operations staff into more senior roles
• Lead design and evolution of remote access and VPN services across ZTNA, SDP, SSL VPN, and client based approaches
• Design, deploy, and operate the enterprise network across offices, data centers, and remote sites, with repeatable site build patterns
• Lead and participate in design reviews, partnering with Security, SRE, and IT to keep compliance and audit requirements built in
• Act as an escalation point for complex incidents and coach less experienced engineers through pairing, reviews, and documentation

Who You Are: 

• 8+ years of network engineering experience in large scale or rapidly growing environments
• Hands on experience designing and operating enterprise networks across offices, data centers, and remote sites
• Experience leading VPN and remote access design across ZTNA, SDP, SSL VPN, or client based solutions
• Working knowledge of TCP/IP, BGP, OSPF, VLANs, NAT, VPNs, and firewalling
• Experience building network monitoring, telemetry, dashboards, and alerting
• Experience authoring runbooks used by NOC or operations teams
• Troubleshooting experience across Layers 2 through 7

Preferred:

• Experience designing and operating cloud networking in at least one major cloud provider (AWS, Azure, or GCP)
• Experience with network automation and infrastructure as code (Python, Ansible, Terraform)
• Hands on experience with enterprise platforms such as Cisco (SDWan, Enterprise, Wireless), Juniper, HPE / Aruba (Enterprise, Wireless)
• Experience with modern observability stacks (Grafana, Prometheus, ThousandEyes, or equivalent)
• Experience supporting high growth, AI, or HPC environments
• Experience implementing Zero Trust or SASE architectures at scale

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 own outcomes end to end
• You love to level up the engineers around you
• You're curious about how systems fail and how to make them fail less
• You're curious about what other teams need to be successful
• You're an expert in turning operational pain into durable engineering fixes

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).

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico seeks a Senior Machine Learning Research Engineer to join the team building the computational engine that closes the design-test-learn cycle in molecular design and scales the ML infrastructure across the company.

Working closely with a biology-fluent group of researchers and engineers, you will build ML platforms to accelerate their research, translate advanced ML methods into scalable code, and iteratively refine these tools as they apply them to real-world drug discovery problems.

If you are passionate about building high-impact ML systems, thrive in ambiguity, and are excited to move fluidly between optimizing data pipelines and deploying generative models, this is the role for you.

Please note: No biology or life sciences background is required for this role.

Key Responsibilities:

You will own the end-to-end flow from data ingestion to model deployment. Because of the flexible nature of this role, your responsibilities will adapt to the team's most pressing needs, shifting between two core areas:

ML Platform

• Build and scale core components of our ML Data, Eval, and Serving platforms, including APIs, libraries, and datastores
• Optimize the training and serving stack to maximize accelerator utilization at scale
• Automate end-to-end ML workflows between computational models and the wet lab, ensuring full reproducibility and lineage tracking

Generative Modeling & Search

• Optimize and scale our molecular search methods
• Identify opportunities to accelerate model research workflows and ship tools quickly
• Prototype new modeling ideas with researchers and deploy them into the drug discovery pipeline

Position Requirements:

• A strong intellectual curiosity for life sciences
• 5+ years of relevant ML software engineering experience in industry or academia
• Strong software engineering skills, particularly building model training, serving, or evaluation platforms
• Deep expertise in Python and JAX or PyTorch
• Must be willing to work onsite at least four days a week

Nice to Have:

• Large-scale data processing experience (e.g., Ray, Spark, BigQuery) and high-throughput data loading
• Familiarity with common biological datasets and formats (e.g., BAM, TIFF, Zarr, AnnData)
• Hands-on experience with advanced ML architectures (e.g., transformers, diffusion networks), search and optimization methods (e.g., active learning, Bayesian optimization, RL), or large-scale biomolecular models (e.g., AlphaFold)
• Advanced degree in computer science or a relevant field
• Contributions to open-source ML projects or relevant academic publications

The estimated base salary range for this role is $209,000 - $233,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a Senior Data Engineer to join our highly collaborative Engineering team as the founding member of the Drug Discovery Data Engineering group. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized, and comfortable working on complex data, software, and scientific problems.

In this position, you will act as a technical bridge between our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences groups. You will drive projects from requirements-gathering to production deployment, engineering high-performance data systems that integrate with our molecular databases (CDD Vault), inventory systems (Mosaic), electronic lab notebooks (Benchling), our internal data warehouse (BigQuery), and our internally developed AI platform. As the first hire on this team, you will play a pivotal role in defining data flows, building web applications for stakeholder review, and establishing the engineering culture for this important growth area.

Position Responsibilities:

• End-to-End Project Ownership: Collaborating with scientists in Assay Technology, Medicinal Chemistry, and Protein Sciences to gather requirements, architect solutions, and deploy production-grade software that facilitates data movement and analysis
• System Integration: Designing and implementing robust integrations between internal pipelines and third-party platforms, specifically the CDD molecular database, Mosaic inventory systems, and Benchling ELN
• Data Flow Architecture: Defining and optimizing data flows across the organization (e.g., ensuring seamless data handover from Machine Learning -> Protein Sciences -> Assay Technologies) to accelerate the drug discovery feedback loop
• Full-Stack Tool Development: Developing data systems and internal web applications (using React and Python) that allow stakeholders to review, visualize, and communicate complex scientific data
• Mentorship & Leadership: Serving as a senior technical voice within a larger Engineering team; providing mentorship to junior engineers across Calico and helping onboard future hires into the Drug Discovery Data Engineering team
• Engineering Excellence: Championing best practices for infrastructure-as-code, CI/CD, and containerization while helping to set standards for data engineering at Calico

Position Requirements:

• BS/MS/PhD in Computer Science, Data Science, or a related technical field, or equivalent practical experience
• 5+ years of professional software or data engineering experience on the small molecule and antibody informatics side of pharmaceutical R&D
• Proficiency in applying laboratory informatics systems such as CDD Vault, Titian Mosaic, and Benchling to the drug discovery process
• Fluency in Python with a strong grasp of software and data engineering principles (testing, modularity, design patterns, data modeling)
• Demonstrated experience developing and deploying cloud-based applications on Google Cloud Platform (GCP) (preferred), AWS, or Azure
• Strong experience with modern web frameworks and infrastructure, specifically FastAPI, React, Kubernetes, and Terraform
• Proven ability to lead complex projects involving diverse stakeholders (e.g. both bench scientists and Machine Learning engineers) from concept to production
• Experience enforcing robust data governance policies and compliance with internal information security standards and best practices
• Must be willing to work onsite at least four days per week

Nice to Have:

• Experience working with large-scale biological or chemical datasets, including chemical and biological ontologies
• Prior experience managing external partnerships and vendors in the informatics space
• Experience with system administration of informatics platforms, including setting information security standards and negotiation of software contracts

The estimated base salary range for this role is $217,000 - $229,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. 

Position Description:

Calico is seeking a machine learning research scientist to develop innovative machine learning algorithms to model and design proteins. This person will work with a team of dedicated experimental biologists to design experiments to test and iteratively refine machine learning predictions.

The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques. Candidates should have experience implementing, extending, and debugging state of the art machine learning models, and have expertise in designing and building robust data infrastructure and tools. Candidates should be independent, self-motivated and be expected to explore relevant ML literature and apply novel approaches to various protein design problems at Calico. Candidates must demonstrate a strong ability to communicate ideas and results through publications and presentations and be able to work cross-functionally to execute on complex projects.

Position Requirements:

• Ph.D. in Computer Science, Computational Biology, or related technical field; OR M.S. in Computer Science, Computational Biology, or related technical field, plus 2+ years industry experience
• Experience in applying deep learning to model biological sequences and structures
• Expert in TensorFlow, PyTorch, and/or JAX
• Strong software engineering skills and substantial expertise in Python
• Track record of outstanding communication and collaboration in a cross-functional environment
• Strong analytical and quantitative skills
• Must be willing to work onsite at least four days a week

Nice to Have:

• Domain expertise in computational biology, biochemistry or structural biology
• Familiarity with state of the art structure modeling tools such as AlphaFold
• Public recognition in the field, e.g. via scientific publications or success in machine learning competitions
• Prior experience working with biologists
• Prior experience working as an ML Engineer/Scientist

The estimated base salary range for this role is $170,000 - $233,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico seeks a Senior Machine Learning Software Engineer (MLOps) to own the scaling, reliability, and deployment of our machine learning workloads. You will build the computational backbone to accelerate, scale, and productionize our ML research, serving as the critical bridge between frontier research and production-grade engineering.

If you are passionate about standardizing ML infrastructure, conquering complex distributed systems challenges, and being the core glue that wires up modern toolchains, this is the role for you.

Please note: No biology or life sciences background is required for this role.

Key Responsibilities:

You will work with a team of researchers and engineers on Calico’s key strategic cross-functional drug discovery and development initiatives through the following responsibilities:

• Architect the Computational Engine: Design, build, and deploy highly scalable distributed training environments and evaluate and establish the company-wide blueprint for orchestration systems and infrastructure for therapeutic discovery and development
• Build the Serving Infrastructure: Architect the high-throughput inference and serving pipelines necessary for our models to propose and evaluate synthesis recommendations
• Define the MLOps Standard: Architect and implement rigorous, automated systems for ML experiment tracking, model versioning, checkpointing, and artifact registries, ensuring our path to drug discovery is fully reproducible and data-driven
• Mentorship & Leadership: Serve as a subject matter expert and technical mentor, including partnering with our researchers and academic partners to integrate their research into our production pipelines

Position Requirements:

• A strong intellectual curiosity for life sciences
• 5+ years of relevant work experience in industry or academia
• Strong software engineering skills with deep expertise in Python and JAX or PyTorch
• Hands-on experience with MLOps practices (e.g., model registries, monitoring, CI/CD for ML pipelines) and modern open-source tools (e.g., Ray, Kubernetes, MLflow, Airflow, Flyte)
• Must be willing to work onsite at least four days a week

Nice to Have:

• Hands-on experience troubleshooting distributed training bottlenecks
• Prior experience productionizing ML models for biological or molecular data
• Contributions to open-source projects or academic publications in ML

The estimated base salary range for this role is $209,000 - $233,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

About the role:

We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. 

You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. 

What you'll do: 

Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. You'll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines. You’ll partner closely with product teams to understand their development workflow and eliminate friction points. Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission.

Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.

Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.

Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.

Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.

Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows. We work closely with research on training methods and with agent platform teams on data paths. Relevant experience: ML training infra, production ML pipelines, backend engineering. Finetuning experience is a plus.

You might be a good fit if you:

• Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent 
• distributed systems, cloud-native products, developer tools, or external developer facing products
• Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end 
• Are proficient in Python, Go, Rust, or similar systems languages
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking 
• Take full ownership of your work—from design through deployment and operations
• Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings 
• Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
• Care about building systems that other engineers love to use

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

Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About the Role

We’re looking for a Security Engineer, Infrastructure to secure the core systems that power fal.ai’s platform: GPU compute, multi-cloud environments, networking, and data pipelines. You’ll operate across the full stack, from cloud and Kubernetes to identity, networking, and secrets, designing and implementing security controls that scale with a high-performance AI platform. This role is highly hands-on and systems-oriented, sitting at the intersection of security, infrastructure, and distributed systems.

What You’ll Do

Build & Harden Infrastructure Security

Design and implement security controls across:

• Cloud infrastructure
• Kubernetes and containerized workloads
• Networking, service meshes, and edge systems
• CI/CD pipelines and deployment systems
• Secure compute environments for GPU workloads and model execution

Identity, Secrets & Access

• Machine identity and workload authentication
• Secrets management and encryption (e.g., Vault, KMS)
• Least-privilege access and short-lived credentials
• Implement Zero Trust principles across infrastructure

Secure AI & Data Systems

• Protect model weights, inference endpoints, and customer data
• Design secure data access pathways and isolation mechanisms
• Ensure safe multi-tenant execution environments

Automation & Security Tooling

• Build security guardrails directly into infrastructure and CI/CD
• Use Infrastructure-as-Code (Terraform, Pulumi) to enforce secure defaults
• Continuously identify and remediate security gaps through automation

Threat Modeling & Risk Reduction

• Identify and mitigate risks across infrastructure layers
• Defend against both external attackers and insider threats
• Drive projects like network isolation, encryption, and secure service communication

Cross-Functional Collaboration

• Partner with platform, infra, and ML teams to drive shift-left security
• Enable engineers to move fast with secure-by-default systems
• Contribute to a strong security culture across the company

What We’re Looking For

Core Requirements

• 8+ years in security engineering, infrastructure, or SRE
• Strong understanding of:
• Cloud security (AWS, GCP, or Azure)
• Networking fundamentals (segmentation, firewalls, Zero Trust)
• Linux systems and container security (Docker, Kubernetes)
• Experience building or securing production infrastructure at scale

Security Expertise

Deep knowledge of:

• Authentication & authorization systems
• Secrets management and cryptography basics
• Common vulnerabilities and attack vectors
• Ability to design security controls across multiple layers (infra → app)

Engineering Skills

• Proficiency in at least one language (Go, Python, or similar)
• Experience with Infrastructure-as-Code (Terraform preferred)
• Strong automation mindset—security should scale with systems

Nice to Have

Experience with:

• GPU infrastructure or ML systems
• Multi-tenant platform isolation
• Service mesh / zero-trust architectures
• High-growth startup environments

What Makes This Role Unique

• Work on cutting-edge AI infrastructure security (not just SaaS)
• Secure GPU clusters, model execution, and real-time inference systems
• High ownership: design systems from first principles
• Direct impact on developer trust and platform reliability

Our Security Philosophy

• Secure-by-default > bolt-on security
• Enable developers, don’t block them
• Automate everything
• Assume breach, design for resilience

Compensation & Benefits

• Competitive salary + equity
• Full health, dental, and vision coverage
• Opportunity to work on frontier AI infrastructure

Why fal.ai

You’ll help define what security looks like for the next generation of AI infrastructure—where performance, scale, and safety all matter.

About the role

Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.

We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.

What you’ll do

• Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.

• Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.

• Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.

• Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.

• Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.

• Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.

• Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.

• Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.

You may be a good fit if you

• Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead

• Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.

• Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.

• Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.

Strong candidates may also have

• Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.

• Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.

• Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.

• Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.

• Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.

About the Role:

The Electro-Optical Systems team at Planet is seeking an Opto-Mechanical Engineer to help drive the design of payloads in Planet’s fleet of Earth-imaging satellites. Your mission will be to champion our payload design efforts, with a specific focus on opto-mechanical design and manufacturing. The ideal candidate will be a seasoned opto-mechanical designer who has led optical system engineering efforts across multiple programs from conceptual design through flight. As a member of the Electro-Optical Systems team within Planet’s Space Systems division, you will be a key contributor and stakeholder in Planet’s agile aerospace approach to spacecraft design, and will work hand-in-glove with optical engineering, structural analysis, thermal engineering,  and reliability & qualification, as well as the rest of Planet’s leading-edge spacecraft design and manufacturing teams. 

This is a full-time, in-office position based in our San Francisco HQ 5 days per week.

Impact You'll Own:

• Own the opto-mechanical manufacturing process of optical payloads on Planet’s next-generation satellites
• Design the manufacturing line for mid-volume production of optical payloads. Make first principle based, data-driven decisions throughout the design process to ensure efficient assembly and test processes
• Collaborate with cross-functional teams such as structural, thermal analysts and optical engineer groups to drive and perform analyses to ensure payloads meet stiffness, strength, thermal, and launch survivability requirements, as well as maintain on-orbit performance through STOP (Structural, Thermal, Optical Performance)
• Drive part and assembly design, manage fabrication with key vendors, perform failure analysis, and execute tolerance stackup and GD&T analyses to ensure precision and reliability
• Develop and maintain comprehensive design documentation 
• Lead technical presentations and reviews across all design review gates
• Support test planning and qualification test campaigns
• Be hands-on with flight and test hardware

What You Bring:

• Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related technical field.
• 4+ years experience owning the development of opto-mechanical products from requirements through conceptual design, testing and manufacturing
• Experience designing for high-reliability space environments including launch survivability, vacuum conditions, on-orbit performance through thermal conditions (STOP)
• Experience in the design and fabrication of optical assemblies, incorporating components made from glass, carbon fiber, metals, ceramics, epoxies, as well as mechanisms and electrical elements
• Practical and direct engagement with hardware, from prototyping to production and testing phases
• Excellent analytical and problem-solving skills
• Experience working in a dynamic environment while driving projects to completion
• Good verbal and visual communication skills

What Makes You Stand Out:

• Expertise in optics / opto-mechanical manufacturing, metrology, alignment and calibration
• Ability to build out the manufacturing line for precision optical systems
• Experience with dynamic hardware builds, vibration and shock testing, telescope assembly, and optical performance testing
• Experience applying systems engineering principles to optimize optical payload integration, focusing on requirements management, trade-off analysis, and balancing system-level constraints such as cost, schedule, and performance
• Ability to drive manufacturers and DFM/DFA
• Proficiency in SolidWorks, Zemax, Matlab, Visual Basic, Python and/or C/C++

Application Deadline:

July 1, 2026 at 11:59pm PT

EAR/ITAR Requirements:

This position requires access to export-controlled information, and as such, employment (or hiring of a contractor) is contingent upon the candidate’s ability to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls.

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off 
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

About the Role

We’re looking for an infrastructure engineer to own and evolve the security infrastructure that underpins our foundation models. In this role, you’ll work across compute, storage, networking, and data platforms, making sure our systems are secure, reliable, and built to scale. You’ll shape controls, architecture, and tooling so that security is part of how the platform works by default. You’ll partner closely with research and product teams, enabling them to move quickly while keeping our models, data, and environments protected.

Note: This is an "evergreen role" that we keep open on an on-going basis to express interest. We receive many applications, and there may not always be an immediate role that aligns perfectly with your experience and skills. Still, we encourage you to apply. We continuously review applications and reach out to applicants as new opportunities open. You are welcome to reapply if you get more experience, but please avoid applying more than once every 6 months. You may also find that we put up postings for singular roles for separate, project or team specific needs. In those cases, you're welcome to apply directly in addition to an evergreen role.

What You’ll Do

• Architect security patterns for platforms and services, including network segmentation, service-to-service authentication, RBAC, and policy enforcement in Kubernetes and cloud environments.
• Manage identity, access, and secrets for humans and services: workload and cross-cloud identity, least-privilege IAM, and secrets management.
• Build secure platforms for data ingestion, processing, and curation: classification, encryption, access controls, and safe sharing patterns across teams.
• Write threat models and review designs with researchers and engineers to help them ship features and experiments in a safe, scalable way.
• Automate security checks and build guardrails: policy-as-code, secure infrastructure baselines, validation in CI/CD, and tools that make the secure path the easiest one.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in engineering, or similar.
• Strong background with containers and orchestration (e.g., Kubernetes) and how to secure them (namespaces, network policies, pod security, admission controls, etc.)
• Practical experience with Infrastructure as Code (Terraform or similar), including secure patterns for provisioning networks, IAM, and shared services.
• Solid understanding of cloud networking and security: VPCs, load balancers, service discovery, mTLS, firewalls, and zero-trust-style architectures.
• Proficiency with a systems language such as Rust and scripting in Python for building platform components and internal tools.
• Evidence of owning complex, production-critical systems, including debugging issues that span infra, security, and application layers.

Preferred qualifications — we encourage you to apply if you meet some even if you don't meet all of these:

• Experience with ML infrastructure, GPU clusters, or large-scale training environments (schedulers, job queues, shared storage, multi-tenant clusters).
• Background in AI labs, HPC environments, or ML-heavy organizations where both security and performance are first-class concerns.
• Experience profiling and tuning high-throughput systems, and an ability to reason about the cost of additional security layers.
• Talks, blogs, or publications on infrastructure security, distributed systems, or performance engineering.
• Open-source contributions to security, orchestration, observability, or infrastructure tooling.
• Familiarity with securing specialized hardware (GPUs, TPUs) and their integrations into training and inference pipelines.

Logistics

• Location: This role is based in San Francisco, California. 
• Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $200,000 - $475,000 USD.
• Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
• Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

We are looking for an experienced Hardware Quality Industrialization Engineer to join our team. Our manufacturing team is growing quickly and we need someone with a strong quality engineering and supplier management background. This person will be the founding member of the quality and will get to design and build the team from the ground up.

In this role, you will:

• Work internally within Kodiak with engineering, supply chain, operations and our external manufacturing partners to build data driven, repeatable quality processes 
• Evaluate new and existing suppliers to ensure their internal processes and controls meet Kodiak standards
• Analyze field returns to drive potential design improvements
• Drive root cause analysis with both internal stakeholders and external partners. Own all corrective actions and improvements at the manufacturer(s) or internally
• Work with our internal test team to establish test parameters, pass/fail limits and overall test strategy 
• Own our supply vertical(s) based on product type (PCBAs, Harnessing, etc) 
• Work with external partners to ensure they are meeting our compliance and certification requirements  

What you’ll bring:

• Minimum of 3+ years in Quality, Supplier Quality or Supplier Industrialization Experience
• Experience in Aerospace, Automotive or Autonomous Vehicles 
• Strong track record of supplier evaluation and management 
• Ability to manage competing priorities across the company
• Strong experience in statistical quality control analysis
• Strong experience in problem solving tools (8D, 5 whys, fishbone diagram)

What we offer:

• Competitive compensation package including equity and annual bonuses
• Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits)
• MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance
• Flexible PTO, 10 paid holidays, and generous parental leave policies
• Our office is centrally located in Mountain View, CA
• Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging
• Long Term Disability, Short Term Disability, Life Insurance
• Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation) 
• Fidelity 401(k)
• Commuter, FSA, Dependent Care FSA, HSA
• Various incentive programs (referral bonuses, patent bonuses, etc.)