About the Team

Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform team is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Software Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our capabilities.

We are seeking a highly experienced and skilled Senior Software Engineer to join our backend and data team. This role is crucial for designing, building, and optimizing distributed data pipelines, real-time data processing systems, and backend solutions that handle large-scale data effectively. The ideal candidate will have deep expertise in Java, distributed systems, and big data technologies, as well as a passion for solving complex problems and delivering robust solutions. We’re always in “build mode” because we’re a company of data-focused builders. Every day, you’ll look at what exists and find ways to make it better.

For California Only - The estimated annual salary for this position is between $300,000 - $425,000 annually.  Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.  This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you’ll be doing

Design and Development:

• Architect, develop, and maintain scalable backend systems and APIs using Java and Akka.
• Build distributed data pipelines for batch and real-time data processing.
• Design efficient and scalable systems that process large volumes of data.

Big Data Expertise:

• Leverage big data technologies such as, Apache Spark, Kafka, Flink, and related tools to build high-performance data pipelines.
• Work on data transformation, ingestion, and integration for both structured and unstructured data.
• Implement solutions for data lake and data warehouse integrations.

Real-Time Processing:

• Develop and maintain real-time data processing applications to support business-critical use cases.
• Optimize real-time data flows for low latency and high throughput.

Java Expertise:

• Write clean, efficient, and reusable code in Java, adhering to industry best practices.
• Optimize Java applications for performance, scalability, and reliability.
• Leverage Java frameworks such as Spring Boot for backend development.

Monitoring and Optimization:

• Monitor, troubleshoot, and optimize backend and data systems to ensure high availability and reliability.
• Design and implement performance tuning strategies for large-scale distributed systems.

We're excited if you have

• 7+ years of experience in backend development and distributed data processing.
• Proven expertise in designing and building scalable systems with Java.
• Hands-on experience with Big Data technologies such as Spark, Kafka, and Flink.
• Proficiency in Java and Java-based frameworks (Spring, Spring Boot, etc.).
• Strong understanding of distributed systems and microservices architecture.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of SQL and NoSQL databases (e.g., DynamoDB, or Aerospike).

#LI-JC5

About the team

Subscriptions are a key growth area for Roku and are a significant growth path. The subscription platform is part of every step of the customer journey from product placement, purchase, renewals, and viewing experience of digital content on TV and smart home products in domestic and international markets. It also empowers our partners with real-time subscription information, ensuring customers have a smooth purchase and viewing experience. In this role, as part of the subscriptions platform team, you will envision, architect, build, and run a highly available, fault-tolerant, efficient, and performant platform that scales to billions of viewers.

About the role 

In this role, you will lead the architecture and implementation of a highly available, fault‑tolerant, and performant subscriptions platform that scales to billions of viewers across AWS/GCP, owning key initiatives end‑to‑end while coding roughly 80% of the time. You’ll evaluate and adopt new technologies, design shared architectural layers (queuing, event systems, shared memory), and collaborate across Product, Engineering, QA, and Ops to deliver resilient services spanning streaming, APIs, notifications, and batch workloads. As a hands‑on technical leader, you will set engineering excellence by example, drive CI/CD automation and platform reuse, influence roadmap through cross‑team architectural discussions, and consistently turn complex requirements into reliable, well‑documented systems.

For California Only - The estimated annual salary for this position is between $186,000 - $388,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Lead the evaluation and implementation of new technologies and designs. Evaluate emerging technologies and seek innovative solutions to address existing and new challenges
• Engage in architectural discussions across multiple teams, influence the roadmap, and take ownership of key projects and initiatives 
• Providing technical leadership and expertise to drive platform capabilities to ensure high availability and scalability
• Demonstrate engineering excellence practice by setting expectations and leading by hands-on examples
• Own building platform features, driving directly with product and other engineering teams
• Own design and implementation of shared architectural layers (e.g., queuing, event systems, shared memory clusters) and libraries that can be used across teams
• Review technical specification documents, provide feedback, and collaborate for best in class solution
• Be an evangelist for best practices across all functions – developers, QA, and infrastructure/ops
• Be an evangelist for platform innovation and reuse
• Be actively involved in code/design reviews and expected to code 80% of the time

We’re excited if you have 

• 10+ years of experience in architecting, implementing, and running large-scale services, specifically in subscriptions, purchase, and billing domains
• Experience building systems of various workloads - streaming, API, notifications, batch, etc. 
• Expertise in various subscription flows, including tax, payment, purchase, renewal, dunning, cancellation, repurchase, and invoicing. 
• Strong architectural design experience, great track record of building a highly available and scalable subscription platform
• Strong expertise with cloud solutions/systems across cloud with AWS or GCP is a must 
• Strong experience in designing and leading the implementation of highly complex transactional systems, collaborating with teams across the organization
• Strong passion for technology and adding value to the bottom line through technology
• Strong passion & expertise with automation, including building and adopting CI/CD pipelines
• Experience with multi-cloud solutions is a plus, and the ability to offer technical guidance to design, deploy, and scale applications across multiple cloud environments
• Experience integrating with various streaming and subscription platforms like Amazon, Apple, Google, and Samsung is a plus

#LI-DH2

About the team

Join the Home Screen team — the engineers behind Roku's home screen and the experiences that greet every Roku user the moment they turn on their TV. Our work ships to hundreds of millions of devices worldwide.

We move fast and hold a high bar. Engineers on this team own features end-to-end — from the OS platform layer through BrightScript/SceneGraph UI to cloud integration — and collaborate closely with product, design, and cross-functional engineering partners to bring ambitious ideas to production at scale.

About the role

We are looking for a Senior Software Engineer to take deep ownership of the OS UI platform that powers the Roku home screen and Browse Surfaces. You will drive architecture and delivery across the OS client stack: SceneGraph component framework, performance and memory optimization, and the user-facing experiences built on top of it.

For California Only - The estimated annual base salary for this position is between $370,000 - $400,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

What you'll be doing

• Architect and implement features across the Roku home screen & Browse Surfaces, through SceneGraph UI to cloud-backed content experiences
• Drive performance, memory efficiency, and reliability of the home screen on constrained embedded hardware
• Own features end-to-end: design, implementation, testing, and production rollout to hundreds of millions of devices
• Collaborate with UI/UX design, product management, and cloud engineering teams to define and deliver new user experiences, including AI-driven features
• Mentor engineers, establish technical standards, and evangelize best practices across the team
• Investigate and resolve complex platform issues affecting millions of users

We're excited if you have

• 7+ years of software engineering experience, with significant time in embedded or consumer electronics environments
• Deep proficiency in C++ and/or BrightScript/SceneGraph/TypeScript (or equivalent TV platform SDK experience)
• Proven track record in architecting and shipping features on constrained embedded platforms (memory, CPU, GPU)
• Strong understanding of multi-threaded development, concurrency, and real-time programming
• Experience building and shipping UI experiences on embedded or consumer electronics platforms
• Knowledge of Linux operating systems and system-level debugging
• Experience with API design and cross-team integration
• Familiarity with AI/ML and LLM technologies, with interest in applying them to content and UI experiences
• Strong communication skills — this role involves frequent collaboration across engineering, product, and design
• B.S. or M.S. in Computer Science or equivalent engineering experience

#LI-SG1

About the role

Roku’s leadership in streaming depends on delivering exceptional devices that combine the right hardware platforms with Roku OS to create simple, reliable, and delightful experiences. Roku is the #1 TV streaming platform in North America, and we’ve set our sights on powering every television in the world. Roku pioneered streaming to the TV.  

Our mission is to change the face of television and streaming media watching around the world. This role is tasked with leveraging hardware and software to create a unique viewing experience, one that turns users into raving fans.  

You will report directly to the Vice President of Software Engineering and serve as a key technical contributor for Roku’s device platform strategy, with a strong focus on high-quality software solutions.

We are looking for a highly skilled Lead Systems Software Architect who leads complex implementations for Roku TVs and streaming devices, grounded in a deep understanding of multimedia system design (video/audio pipelines, SoCs, memory, power, thermals). You will design, implement, debug, and optimize the software platform that spans the full system, ensuring it is performant, secure, and scalable across SKUs and generations. You will collaborate with ODM partners, chipset vendors, and internal software/hardware teams to drive products from concept to mass production.

The work we do can be challenging, but that’s why we enjoy it so much. The ideal candidate isn’t a bystander. They are curious and engaged, willing to jump in to solve problems and make data-driven decisions even when things feel very ambiguous. Our industry changes quickly, so we expect a great candidate to be comfortable responding quickly to changing business needs, knowing that their own success comes when the team succeeds.

For California Only - The estimated annual salary for this position is between $350,000 - $510,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off."    

What you’ll be doing

Software development & platform ownership 

• Own complex features or subsystems end-to-end, from design and implementation through bring-up, validation, and production support.
• Translate product and business goals into concrete designs, tasks, and implementation plans.
• Design, implement, and maintain core platform software for Roku device programs and platforms, with a strong focus on code quality, robustness, and long-term maintainability.
• Contribute to and influence hardware–software partitioning, platform APIs, and integration patterns to enable feature teams to build reliably on the device platform.
• Drive and model best practices for coding standards, code reviews, testing strategies, and CI/CD for platform software. 

Multimedia & system-level engineering 

• Implement and optimize video/audio pipelines, codecs, and rendering paths to deliver high-quality playback, low latency, and smooth UI/UX for streaming applications. 
• Contribute to end-to-end multimedia system design for TVs and streaming devices, ensuring solutions scale across SKUs and generations. 
• Define and help maintain benchmarks and test scenarios for media, graphics, and system behavior that map directly to Roku use cases. 
• Implement and maintain secure boot, DRM integrations, and standards-compliant content protection features in collaboration with security experts. 

Systems-aware implementation integrating hardware-software  

• Lead the product evaluation and enablement of candidate SoCs and companion chipsets, partnering with SoC vendors on performance, power, cost, and ecosystem maturity. 
• Implement and maintain drivers, HALs, and low-level services that expose the right hardware capabilities (media, graphics, connectivity, security) to Roku OS. 
• Drive early bring-up and debug of new SoCs and boards from a software perspective (boot chain, device drivers, board support packages, diagnostics). 
• Anticipate system-level failure modes (thermal, power, component tolerances, resource exhaustion) and implement software mitigations (throttling, graceful degradation, watchdogs, telemetry hooks). 

Performance engineering in constrained environments 

• Define and enforce memory, CPU/GPU/NPU, and storage budgets across SKUs, working closely with feature teams. 
• Use profiling tools, tracing, and telemetry to diagnose and fix performance bottlenecks across the stack (kernel, drivers, middleware, apps). 
• Implement optimizations to improve boot time, UI performance, streaming quality, and app responsiveness while staying within platform constraints. 

Quality, diagnostics, and observability 

• Partner with NPI, test, and manufacturing engineering to design and implement system-level validation strategies, test automation, and regression suites for your components. 
• Implement and refine diagnostics, logging, and telemetry that make field issues diagnosable and fixable at scale, including the platform hooks needed for AI-assisted troubleshooting. 
• Ensure the robustness and reliability of low-level software in production configurations, including robust error handling, recovery strategies, and safe update mechanisms. 

Cross-functional collaboration & technical leadership 

• Collaborate with OS, media, graphics, connectivity, security, and cloud/service teams to integrate platform features that meet product requirements. 
• Provide technical mentorship to other software engineers, especially around debugging complex system issues, performance tuning, and best practices for systems-level code. 
• Work closely with engineering leads to review designs, surface trade-offs, and de-risk implementations before they reach production. 
• Partner with SoC vendors and OEM/ODM partners from design through mass production, ensuring software deliverables, validation, and readiness meet Roku’s standards 

AI and system-level intelligence 

• Implement components in system-level AI/ML flows where AI is in the loop (e.g., quality monitoring, recommendations, anomaly detection, test selection).
• Specify and implement platform APIs and telemetry that enable AI tools to be effective across the device stack (logs, traces, metrics, events).

We’re excited if you have

Education & experience 

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or related field. 
• 15+ years of industry experience in embedded systems-level software development, with a strong emphasis on hands-on software development for multimedia products. 
• Proven track record building and shipping AV products (TVs, set-top boxes, streaming devices, consoles, or similar) at scale. 

Software development & systems expertise 

• Strong experience with embedded Linux or Android-based systems 
• Proficiency in one or more systems programming languages such as C/C++ (Rust or similar is a plus), with deep experience in debugging, performance tuning, and maintainable code design. 
• Strong familiarity with modern SDLC practices: CI/CD, automated testing, static/dynamic analysis, continuous performance regression monitoring, and observability tooling. 

Multimedia & system knowledge 

• Deep understanding of ARM-based SoCs, multimedia pipelines, and system constraints (memory bandwidth/latency, storage performance, UI/frame-rate stability, thermal behavior). 
• Demonstrated ability to analyze and optimize system-level performance using profiling, tracing, and hardware counters. 
• Experience with DRM, content protection, secure boot, and related industry standards for streaming and TV products. 
• Experience collaborating with SoC vendors and ODM/OEM partners from design through mass production, especially around platform software deliverables and validation. 

AI, accelerators, and low-level platforms 

• Experience with NPU/DSP/AI accelerator blocks on embedded SoCs, including maximizing throughput and minimizing latency within real-world device constraints. 
• Ability to build or integrate end-to-end flows where AI is in the loop, particularly for diagnostics, performance optimization, or UX improvements. 
• Proficient in using AI tools for debugging, code review, test selection, and log analysis, and in implementing the platform hooks (APIs/telemetry) that those tools need. 

Hardware & board-level understanding (bonus) 

• Solid understanding of board-level design concepts (schematics/layout review, power and thermal design, signal integrity considerations, and interfaces such as I²C, USB, PCIe, and HDMI).
• Comfortable partnering with board design teams to translate software and system needs into board-level requirements and constraints, even though your primary focus is software 

How you work 

• Strong communication skills with the ability to explain complex software and system trade-offs to both technical and non-technical stakeholders. 
• A bias toward data-driven decisions, clear documentation, and repeatable processes. 
• Demonstrated ability to lead technically through code and design, influence cross-functional teams, and drive complex platform changes from concept to production.

#LI-SR2

Role

We are looking for a Director, People Business Partner - Technology to join our Business Partner department. This role is based in San Jose, CA (onsite Tuesday-Thursday) and reports to the VP of HR Business Partnering. As a strategic talent architect for our global Technology organization, you will partner directly with executive leadership to design and scale an organizational structure that fuels innovation. This is a high-impact leadership position requiring the executive presence to influence tech roadmaps and the analytical rigor to solve complex organizational challenges before they become roadblocks.

What you’ll do (Role Expectations)

• Act as a critical thought partner to tech executives across Product, Engineering, Innovation, IT, CISO, and AI, ensuring the talent strategy is inextricably linked to the product and engineering roadmap and workforce.
• Diagnose organizational health metrics and sentiment to gauge effectiveness and lead large-scale design initiatives that improve velocity, clarity, and innovation across global teams
• Leverage advanced data analytics and AI-driven tools to provide high-value talent and leadership insights, moving beyond historical reporting to forecast future business and talent needs
• Drive executive-level succession planning, leadership coaching and development, and performance culture designed to thrive in high-velocity technical environments
• Act as a strategic translator, independently driving high-impact collaboration across P&C Centers of Excellence and cross-functional partners to ensure the unique needs of the Technology org are seamlessly supported

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a positive force. You approach hard problems with constructive energy and a 'can-do' spirit that is contagious, inspiring your team to stay focused on the solution.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 10+ years experience as a People and Culture Partner or HR Leader in a global, high growth, transformative Security or SaaS organization supporting complex Technology organizations (Engineering, Product, IT, etc)
• Demonstrated "Technical Weight" - you understand the nuances of R&D cycles and the evolving landscape of AI, allowing you to speak the language of tech leaders
• Proven ability to leverage data analytics to tell compelling stories, using data to justify strategic shifts to a highly skeptical, data-centric executive audience
• Strong executive presence with the "gravitas" to challenge senior leaders and the empathy to serve as the trusted and compassionate face of People & Culture
• Track record of independently leading large-scale organizational design initiatives, executive-level succession planning, and navigating complex, global talent challenges

What Will Make You Stand Out (Preferred Qualifications)

• Experience actively modernizing People & Culture practices by identifying and integrating AI-driven tools into daily HR analytics and talent insights
• Deep expertise in acting as a cross-functional "translator," successfully bridging the gap between high-velocity engineering cultures and specialized corporate functions (Finance, Legal, Compliance, and HR CoEs)
• Prior experience supporting innovation-heavy teams through rapid scaling or significant structural transformation

#LI-Hybrid #LI-AT4

About the Role

Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Business Value Manager, you will have a direct impact on Verkada’s Enterprise sales motion, bridging the gap between complex technologies and tangible financial and operational outcomes.

Reporting to the Chief of Staff to the CRO, you will partner with Enterprise Sales Leaders to architect a value selling framework to scale to the Enterprise Sales organization, building the infrastructure to reference key customer outcomes and win stories, as well as partnering with Product Marketing and Enablement to develop assets and enablement programs. In addition to pioneering the Business Value Selling program at Verkada, you will serve as the Strategic Deal Architect behind our most complex, multi-million-dollar deals, transforming technical capabilities into compelling financial and operational narratives. In this high-visibility role, you will move beyond feature-selling, working at the intersection of finance, product, and sales to quantify the operational and financial impact of our platform, directly influencing the investment decisions of C-suite executives at the world’s leading enterprises.

Please note: this role is remote - with 50% of travel required.

What You'll Do

• Program Development: Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
• Value Realization Tracking and Database: Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
• Sales Enablement: Coach sales teams on value-selling methodologies, including referencing of relevant customer data,  and provide the tooling/content for self-service business justifications.
• Value Discovery: Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
• Financial Modeling: Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.
• Business Case Development: Draft data-backed business cases for strategic opportunities, ensuring every claim is anchored in measurable customer impact.
• Executive Storytelling: Craft and deliver executive-level business cases that align technical solutions with broad corporate objectives.
• Commercial Objection Handling: partnering with Sales to dismantle financial objections in real-time.

What You Bring

• Strategic Consulting: 5–9+ years of experience in management consulting, business transformation, or enterprise software sales.
• Financial Intelligence: Proficiency in building complex financial models and the ability to navigate financial documents like 10-Ks and earnings transcripts.
• Analytical Power: Proficiency in data visualization and manipulation tools such as Looker and advanced Google Sheets.
• Executive Presence: Exceptional presentation and communication skills, with a proven ability to influence C-suite decision-makers.
• Technical & Market Acumen: Deep understanding of SaaS sales motions, industry trends (e.g., AI/ML acceleration), and how IT functions like operations and security drive value.

Analytical Rigor: Ability to derive meaningful insights from large, complex data sets to build compelling business cases.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ensure customer success by helping our most complex customers maximize the value they get out of our platform and their return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases by leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. It is technical in the sense that you will serve as the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels within an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical-win account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader for specific use cases and customers across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, go-live, and healthy consumption of the workloads the customer has chosen to run on Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, often spanning multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Education, Onboarding/Technical Services, and Support resources, and escalate to subject matter experts when work falls beyond your scope or expertise
• Create, own, and execute a point of view on how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Partner with Databricks Product and Engineering teams on new product innovations, private previews, and upgrades
• Develop an execution plan spanning all customer-facing technical roles and teams across the following work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates to your Technical GM — KPI reporting on usage and customer health, covering investment status, key risks, product adoption, and use case progression

What we look for:

• 5+ years of experience accountable for technical project / program delivery in Data and AI, with the ability to contribute to technical debate and design choices alongside customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture for distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverable
• Technical program or project management, including accountability for accounts, stakeholders, and resources
• Experience resolving complex, high-stakes escalations with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis, and managing delivery of complex programs/projects
• Track record of overachievement against quota, goals, or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience
• Can travel up to 30% when needed

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

We are looking for a Senior Software Network Engineer to join our cross-functional team. In this role, you will be the primary architect of the high-level service plane, bridging the gap between quantum hardware and classical infrastructure. 

You will tackle the unique challenge of managing a distributed quantum networking and sensing solution, applying your expertise in high-scale systems to lead IonQ on its journey to build the world’s best quantum networks. 

Responsibilities: 

• Architect, system design, implement, maintain, and operate the high-level service plane for quantum network operations.
• Build and maintain interfaces using industry-standard protocols to integrate various network devices.
• Define and enforce network security best practices including Authentication, Authorization, and Accountability (AAA) and Role-Based Access Control (RBAC). 
• Support the implementation of secure communication protocols, such as TLS 1.3 and SSH, across the network control plane.

You'd be a good fit with:

• 5+ years of experience in senior software engineering roles focused on large-scale distributed systems, banking backends, or cloud infrastructure. 
• Minimum of a Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline. 
• Proficiency in Python and/or Go for orchestration and automation frameworks, and C/C++ or Rust for performance-critical components.
• Proven experience building, deploying, and maintaining Linux/Unix systems, including containerization and secure remote access.
• Demonstrated ability to architect and implement system- and network- management solutions in virtualized and/or containerized environments.
• Strong background designing web APIs, distributed systems, and/or real-time systems with a focus on high availability and reliability.
• A self-starting attitude and experience working cross-functionally to overcome ambiguity

You’d be a great fit with:

• Deep familiarity with Mutual TLS (mTLS) and certificate-based authentication (X.509)
• Experience building experiment-supporting frameworks with automated rollback and configuration recovery.
• Strong background in system-wide audit logging and tamper-evident data structures.
• Strong interest in quantum science and technologies, record of onboarding in technically and scientifically complex domains
• Experience working as or close to SRE/DevOps in a cloud or cloud-like environment

Location: Vista (CA), Bothell (WA), Pleasanton (CA)
Travel: Less than 10%
Job ID:  1269

The approximate base salary range for this position is $128,119 - $167,740.

Location: This role can work onsite or hybrid in San Francisco Bay Area, CA.  
Travel: Up to 10%
Job ID:  1560

The Role: 

We are looking for a Principal Cybersecurity Architect to own the security posture strategy for our Network Security Posture Management (NSPM) platform. You’ll work at the intersection of network security, compliance, and platform engineering — defining how the platform assesses, measures, and enforces security posture across large, heterogeneous network environments.

In this role, your primary focus is designing and codifying security posture assessment rules that map network device configurations and behaviors against established security standards — and building the framework that makes it easy to onboard new standards as they emerge. You bring deep NSPM expertise, a strong understanding of network security principles, and the ability to translate complex compliance requirements into actionable, automatable rules that operate at scale across thousands of devices.

Responsibilities:

• Design and own the security posture assessment rule framework, defining how device configurations, network behaviors, and access controls are evaluated against security standards including NIST CSF, CIS Benchmarks, ISO 27001, FISMA, and FedRAMP.
• Build and maintain a scalable rule authoring and lifecycle management system that allows new security standards and custom organizational policies to be onboarded, versioned, and deployed without platform re-architecture.
• Continuously monitor the evolving threat and compliance landscape — translating emerging standards, regulatory changes, and new CVEs into updated posture assessment rules that keep the platform current and defensible.
• Define the risk scoring and prioritization model that aggregates individual posture findings into a coherent, actionable security posture score at the device, segment, and enterprise level.
• Collaborate with platform engineering teams to ensure posture assessment rules execute efficiently at scale across large network device fleets, with well-defined APIs for rule ingestion, evaluation, and results delivery.
• Engage with enterprise customers and internal stakeholders to understand their compliance requirements, translating them into platform capabilities and serving as the authoritative security subject matter expert for the product.
• Partner with Product and Engineering to shape the NSPM roadmap, ensuring security posture capabilities remain ahead of the regulatory curve and deliver measurable value to network security and compliance teams.
• Mentor engineers and security analysts on posture rule design, threat modeling, and compliance mapping, establishing rigorous review processes that ensure accuracy and defensibility of every assessment rule shipped.

Requirements:

• 12+ years of experience in cybersecurity, network security, or security architecture, with at least 5 years in a senior or principal capacity focused on network security posture, compliance, or policy enforcement at scale.
• Deep, hands-on experience with Network Security Posture Management (NSPM) platforms and tools, with a demonstrable track record of designing and operationalizing posture assessment rules across large enterprise networks.
• Comprehensive knowledge of major security standards and frameworks including NIST CSF, CIS Benchmarks, ISO 27001, FISMA, and FedRAMP, with the ability to interpret control requirements and translate them into precise, automatable assessment rules.
• Strong understanding of network device security — including firewall policy analysis, routing protocol security, access control, and configuration hardening across multi- vendor environments (Cisco, Juniper, Palo Alto, Fortinet).
• Proven ability to operate across both strategic and technical dimensions — engaging executive stakeholders on compliance risk while working closely with engineering teams on rule design, data modeling, and platform integration.

Preferred Qualifications:

• Industry certifications such as CISSP, CISM, CCNP Security, or equivalent credentials that demonstrate deep, validated expertise in network security and information security management.
• Prior experience at a network security vendor, MSSP, or large enterprise security team, with direct exposure to how security posture policies are enforced across complex, multi- vendor network infrastructures.
• Familiarity with Zero Trust architecture principles and their practical application to network segmentation, device trust, and least-privilege access enforcement in enterprise environments.
• Experience contributing to or authoring security standards, CIS Benchmark profiles, or DISA STIGs, or participation in industry working groups focused on network security policy and compliance.
• Understanding of CVE lifecycle management, SBOM analysis, and vulnerability correlation as they apply to network device firmware and software supply chain risk assessment.

The approximate base salary range for this position is $248,557 - $325,425. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Location: This position can work onsite or hybrid from San Francisco Bay Area. 
Travel: Up to 15%, domestic or international.
Job ID: 1558

The Role: 

We are looking for a Senior Staff Software Architect to lead the design and evolution of our next-generation Network Monitoring Platform. You’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems.

In this role, you will own the end-to-end architecture of a high-scale, data-intensive network monitoring platform — from data modeling and ingestion pipelines to cloud-native deployment. You are a hands-on technical leader who writes production code, drives critical architectural decisions, and has deep experience building systems that monitor large fleets of devices at scale. The ideal candidate brings strong Go and/or Rust expertise and thrives at the intersection of systems engineering and distributed data platforms.

Responsibilities:

• Architect cloud-native ingestion and processing pipelines capable of handling telemetry from hundreds of thousands of devices, leveraging streaming platforms and time-series storage at scale.
• Define and own the platform’s unified YANG-based data model, spanning device configuration state, operational telemetry, and topology relationships across heterogeneous network environments, serving as the authoritative schema from which ingestion pipelines, storage structures, and API contracts are derived.
• Write and review production-quality code in Go and/or Rust for performance-critical platform components including collectors, aggregators, and real-time processing engines.
• Define and enforce data partitioning, sharding, and retention strategies to sustain high-volume device event streams while meeting latency and durability requirements.
• Lead the design of cloud-native deployment patterns (Kubernetes, service mesh, autoscaling) to ensure the platform operates reliably at global scale across multi-cloud environments.
• Evaluate and drive adoption of purpose-fit technologies — time-series databases, graph stores, stream processors — with a focus on operational scalability and long-term maintainability.
• Partner with Product and Engineering to translate monitoring requirements into platform capabilities, ensuring architectural decisions are reflected in roadmap milestones and engineering specifications.
• Mentor senior engineers through architecture reviews, coding standards, and hands-on technical guidance, raising the bar for platform quality and engineering practices.

Requirements:

• 12+ years of experience in software or platform architecture, with at least 5 years leading architecture for large-scale, data-intensive distributed systems.
• Substantial experience building and operating device monitoring systems at scale — with direct exposure to telemetry ingestion pipelines, fleet management, and real-time alerting across large device populations.
• Proven hands-on coding ability; production experience with Go and/or Rust is strongly preferred for this role.
• Deep expertise in data modeling for high-volume systems, including schema design, time-series storage (InfluxDB/Timescale), event streaming (Kafka/Kinesis), and graph data models for network topology.
• Solid understanding of cloud-native application design — including containerization, Kubernetes orchestration, microservices, and cloud infrastructure across AWS, GCP, or Azure.

Preferred Qualifications:

• Proficiency in both Go and Rust, with a track record of shipping production services in at least one of these languages.
• Background in network management platforms or network equipment vendors (e.g., Juniper, Cisco, Nokia), with familiarity with telemetry protocols such as gNMI, NETCONF, or SNMP.
• Experience designing multi-tenant SaaS platforms where data isolation, schema evolution, and scalability across customer tiers are first-class concerns.
• Contributions to open-source infrastructure or observability projects, or published technical writing on distributed systems and data engineering topics.
• Familiarity with techniques relevant to high-throughput data collection.

The approximate base salary range for this position is $216,136 - $282,978. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

About Role

Clockwork is seeking a sales-savvy individual with extensive technical expertise in AI networking to fill our Senior Solutions Engineer position. Do you thrive in a fast-paced, dynamic environment? Utilize your networking expertise, systems engineering background, and consultative skills to partner with our sales team throughout the entire customer journey—from understanding requirements and delivering compelling technical presentations and demos to conducting proof-of-concept (PoC) evaluations and overseeing complex software deployments.

What you will do

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments.
• Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Work closely with Clockwork's sales team to complete PoC evaluations and close deals.
• Collaborate with product and engineering teams, and identify opportunities for product enhancement.
• Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture.
• Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders.
• Represent Clockwork at conferences and industry events, with occasional travel as required.

Experience/skills you bring to the position

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains.
• Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management.
• Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI).
• Strong understanding of Kubernetes and container orchestration.
• Familiarity with GPU infrastructure and related technologies.
• Extensive knowledge of networking protocols.
• Excellent communication and relationship-building abilities, with a customer-centric mindset.
• Demonstrated ability to troubleshoot complex technical issues and provide effective solutions.
• A degree in computer science, electrical engineering or related field.
• Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

Enjoy

• Challenging projects.
• Competitive compensation.
• A great benefits package.
• A friendly and inclusive workplace culture.
• Catered lunches.

Compensation for this position will vary based on the skills and experience you bring, as well as internal equity considerations. For candidates hired at the posted level, the expected base salary range is $170,000 - $250,000. In addition to cash compensation, this role is eligible to participate in the company’s equity program, which may include stock options granted in accordance with the company’s equity plan and subject to approval and applicable vesting schedules.

About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.

You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.

Key Responsibilities

• Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
• Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
• Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
• Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
• Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
• Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
• Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
• Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.

Requirements

• 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
• Deep technical expertise in solution architecture, data integration, and enterprise software.
• Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
• Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
• Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
• Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
• Proficiency in programming/scripting languages such as Python, Java, or C++.

Nice to Haves

• Strong problem-solving skills with a customer-first mindset.
• A track record of influencing customer outcomes through consultative engagement.
• Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
• Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.

Base Salary Range: $139,035.00 - $180,918.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

#LI-Onsite 

Who We Are:

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

About the Role:

We're looking for a Senior Telemetry Design Engineer to design the telemetry specs and frameworks that power our AAA games from early development through live operations. Operating within Central Services, you will bridge the gap between our Business and Technical Data teams. Your main goal: translate high-level business strategies into clear, actionable telemetry designs. By ensuring every data point we collect is tied to a specific business outcome, you'll empower our publishing and creative teams to drive growth and craft exceptional player experiences.

What You Will do:

• Turn strategic business goals into clear telemetry specs and frameworks designed for seamless implementation by the development team.
• Define and enforce data standards, naming conventions, and data contracts to keep data consistent across all our games and prevent technical debt.
• Work closely with studio developers to clearly define data warehouse requirements and ensure smooth implementation.
• Partner with dev and Data QA teams to validate telemetry, troubleshoot bugs, and ensure data is accurate and ready for downstream teams to use.
• Contribute directly to the studio codebase by writing telemetry hooks and providing hands-on integration support when needed.

What You Need:

• 5+ years of experience as a telemetry architect, telemetry designer, or data analyst in gaming, tech, or entertainment.
• Proven experience designing and implementing scalable telemetry frameworks.
• Solid understanding of the full Game Development Lifecycle, from initial design through Live Ops.
• Deep understanding of data concepts like raw streaming data, data modeling, and metadata.
• Proficient in Advanced SQL and working with platforms like Snowflake and Databricks.
• Experience handling data contracts, GDPR compliance, and PII.
• Ability to write clear telemetry specs and translate complex technical concepts for engineering, product, and business teams.
• An autonomous self-starter who can dive deep into complex technical issues without losing sight of the big picture.

Bonus Points:

• Experience directly instrumenting telemetry with game studio partners.
• Hands-on experience with game engines (especially Unreal) and C++.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts.

Role

We are looking for a Director, IT Strategy & Operations to join our team. This is a Hybrid (San Jose, CA, 3 days in a week) role, reporting to the VP of IT, Corporate Applications. You will be the primary owner of our long-term IT strategy and roadmap, and the connective tissue that ensures our technology investments translate into enterprise value. This is a high-visibility, high-impact role for a leader who thrives at the intersection of finance, enterprise strategy, and governance. You aren't just keeping the lights on; you are building the world-class foundation that enables IT to support Zscaler’s rapid growth trajectory.

What you’ll do (Role Expectations)

• Architect the Multi-Year Vision: Own the long-term IT strategy, aligning our technology roadmap with Zscaler’s hyper-growth trajectory to ensure IT is always ahead of business needs.
• Build the Financial Engine: Direct the multi-million dollar IT budget lifecycle. You’ll move beyond simple tracking and toward proactive financial management - ultimately ensuring every dollar is a wise investment in growth.
• Drive the Executive Pulse: Own the IT operating rhythms. You will facilitate Monthly Business Reviews with the CIO, Quarterly Business Reviews with the CEO, and other executive governance forums. You will be the strategic partner to IT leadership, ensuring our impact is visible, measured, and celebrated.
• Master the M&A Playbook: Lead the charge on SaaS integration planning for newly acquired companies, ensuring that new additions to the Zscaler family are integrated seamlessly and strategically.
• Establish a World-Class Foundation: Elevate IT governance and SOX controls from a requirement to a gold standard. You will build the frameworks that ensure our governance is as innovative as our technology.

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• 8+ years of cross-functional leadership experience, ideally driving IT operations.
• Hands-on ownership of multi-million dollar IT budgets at the P&L or cost center level, utilizing financial systems like Coupa, Netsuite, and Adaptive.
• Experience managing a large SaaS portfolio - Vendor negotiation experience yielding measurable cost savings, and leading rationalization initiatives at a publicly traded company.
• Demonstrated leadership in owning SOX controls (ITGC).
• Executive presence with experience presenting to VP, SVP, and CIO stakeholders.

What Will Make You Stand Out (Preferred Qualifications)

• Lean Six Sigma or Scaled Agile (SAFe) certification
• M&A SaaS integration experience with a history of rationalizing acquired tech stacks
• Proficiency in Snowflake or Tableau for self-serve financial reporting

#LI-YC2 #LI-Hybrid

Role

Identity is the new security perimeter. Come help manage digital risk by applying security through identity integration and controls.

We are looking for a Senior Architect to join our Identity and Access Management team. This is a hybrid role on-site three days a week in San Jose, reporting to the Senior Director, ZIdentity team. You will be responsible for design and development of enterprise-grade Identity Management Products for Zscaler. You will leverage your deep expertise in IAM and public cloud environments to drive hands-on development and provide technical leadership.

What you’ll do (Role Expectations)

• Practice technical leadership in design, development, and optimization of Identity platform
• Define and execute the technical roadmap for IAM, ensuring alignment with business goals
• Work closely with engineering teams to enhance support for Common Identity platform
• Drive professional development and growth initiatives for team members

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Minimum 12+ years of hands-on experience in application architecture and development using Java.  Experience developing enterprise-grade Security or Networking products.
• Must have strong knowledge of Identity and Access Management protocols, specifically SAML, OAuth & OpenID connect.
• Strong knowledge of Security Protocols such as PKI, TLS, etc.
• Expert-level technical knowledge: Enterprise Java, OOP, OOA, systems architecture, RESTful APIs, and related frameworks ( e.g.  Hibernate, Spring).  CI/CD (tools and processes).
• Expert in Kubernetes and container infrastructure.

What Will Make You Standout (Preferred Qualifications)

• Experience with Java reactive programming would be a plus

#LI-Hybrid #LI-JM1

Role

We are looking for a Director of AI Strategy - Engineering Productivity to join our Engineering Operations team. This is a hybrid role based out of our San Jose, CA office (3 days a week in office), reporting to the Senior Director, Technical Program Management, Zero Trust Exchange. In this role, you will define and champion the company's AI strategy for engineering productivity by evaluating, securing, and integrating AI-driven developer tools and CI/CD pipeline enhancements. You will drive widespread engineering efficiency by replacing fragmented team practices with a unified enterprise governance model, measurable business metrics, and a structured budget for AI adoption.

What you’ll do (Role Expectations)

• Define and lead the Enterprise AI Strategy by developing a unified engineering governance model to standardize AI workflows, prompting techniques, and QA frameworks
• Lead the hands-on evaluation, selection, and rollout of AI developer tools while driving consensus to consolidate vendors and manage a dedicated productivity budget
• Architect AI-enhanced CI/CD pipelines by integrating AI agents and advanced automation while establishing business-oriented metrics to measure tangible impact
• Partner cross-functionally with Security and IT teams to ensure all AI tools are deployed safely, addressing data privacy and protecting proprietary codebases
• Exercise cross-functional influence to build consensus around the AI roadmap, moving the company from isolated experimentation into a structured master plan

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback, knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Proven experience defining and executing an AI strategy specifically focused on engineering productivity
• Deep technical expertise in modern software development lifecycles (SDLC) with hands-on experience evolving CI/CD pipelines using AI agents
• Demonstrated experience navigating enterprise security protocols and partnering with InfoSec teams to deploy AI models safely within an enterprise environment
• Strong strategic thinking and stakeholder management skills with a proven ability to influence leadership and drive a unified master plan across multiple teams

What Will Make You Stand Out (Preferred Qualifications)

• Strong foundational background in DevOps or Platform Engineering
• Experience establishing business-oriented metrics to measure AI ROI and managing dedicated budgets for engineering productivity tools

#LI-Hybrid #LI-KM9

Role

We are looking for a Senior Staff Software Development Engineer (C/C++, TCP/IP, Datapath) to join our Zero Trust Exchange team. This is a hybrid role based onsite in San Jose three days a week reporting to the Sr. Manager, Software Development Engineering. As a Senior Staff Software Engineer, you will architect and build next generation products. By designing high-performance, ultra-low-latency distributed systems, you will directly drive our transformation in cloud-based security while ensuring a seamless, lightning-fast experience for a rapidly scaling global user base.

What you’ll do (Role Expectations)

• Build and scale the Data Plane for Zscaler's Workload Security product, directly shaping the future of cloud-based microsegmentation
• Develop and implement cutting-edge, eBPF-based distributed host firewalls across Linux and/or Windows environments
• Write highly efficient, system-level C/C++ code to optimize the network datapath and process packets at ultra-high speeds with zero perceived latency
• Navigate OS-level architecture in Linux, while stepping in to tackle Windows system development (non-driver) to ensure seamless cross-platform security
• Design distributed system components that maintain high responsiveness and ultra-low latency during high-load, enterprise-scale traffic

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are a pragmatic builder. You are obsessed with creating, iterating, and shipping. You aren't afraid to roll up your sleeves and build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You think at scale. You connect your day-to-day work to the larger company mission and think globally. You build solutions, processes, and teams that are not just effective today but are built to last and support a high-growth, global organization.

What We’re Looking for (Minimum Qualifications)

• 8+ years of heavy, hands-on system-level coding experience in C or C++
• Proven track record working directly on networking product lines, firewalls, or deep datapath optimization
• Strong system-level understanding of Linux operating systems, with the willingness to work within Windows environments as needed
• In-depth understanding of the TCP/IP stack, performance parameters, and socket programming
• Experience delivering complete software lifecycles for highly distributed, high-volume enterprise applications

What Will Make You Stand Out (Preferred Qualifications)

• Direct, hands-on experience with eBPF and/or Windows Filter Platform (WFP)
• Experience in endpoint security, microsegmentation, or tackling similar scale
• A strong foundational understanding of cybersecurity principles that complements your core networking expertise

#LI-Hybrid #LI-KM9

Role 

We are looking for a Software Engineer (Reliability) to join our team in San Jose, CA, reporting to the Vice President of Engineering. This is a hybrid role three days a week onsite within the Service Platform Automation department.

You will build and operate the orchestration and reliability automation that manages ZIA’s fleet lifecycle at massive scale. This is a high-ownership role: you will design and implement orchestration workflows and the supporting services needed for safe, deterministic, idempotent fleet operations—while helping the team evolve toward AI-first execution and operations.

What you’ll do (Role Expectations)

• Replace legacy Python/Ansible with a centralized, deterministic orchestration platform, refactoring automation into modular, well-defined workflows while retiring external dependencies and nested logic

• Engineer execution patterns with retries, idempotency, rate limits/backpressure, and safe rollbacks/compensation designs aligned to global fleet capacity

• Implement safe rollouts using segmentation, canaries, and automated health checks to limit blast radius during fleet-wide upgrades and remediation

• Add strong observability and auditability (metrics, traces, replayable histories), participate in on-call rotation, and drive software based fixes to reduce toil following post-incident reviews

• Integrate AI/LLM capabilities to accelerate legacy code migration and enhance safe operational outcomes through intelligent triage, correlation, and automated runbook generation

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• BS/MS in Computer Science or a related technical field with 5+ years of experience building and operating production-grade software systems

• Strong proficiency in backend/systems languages (Go, Java, C++, or Rust) with the ability to write high-quality, maintainable code

• Deep experience designing and operating distributed systems, including concurrency, failure handling, performance optimization, and data modeling

• Proven track record of building automation using REST APIs and Swagger with strong guarantees for idempotency, verification, and safe rollout patterns

• Hands-on experience with cloud platforms (AWS/GCP, GKE, Cloud SQL etc.) and proficiency in containerization and CI/CD workflows using Docker and GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Temporal (or similar platforms) to architect large-scale fleet systems for patching, upgrades, and remediation using deterministic, health-gated workflows and replay-safe designs

• Testing discipline for orchestration and state machines, including E2E harnesses, determinism verification, fault injection, and chaos engineering to ensure system reliability

• Proficiency in PostgreSQL, including SQL development and schema management, to power high-scale, stateful management-plane services and workflows

#LIHybrid #LI-BH1

Role

We are hiring a Principal Software Development Engineer to be a founding member of our AI Security Team, offering the chance to build a high-reliability, low-latency AI security solution designed to scale for hundreds of millions of users. In this role, reporting to the Director, Software Development Engineering, you will be responsible for designing and implementing core infrastructure components and distributed systems while collaborating closely with various stakeholders throughout the development lifecycle. This is a hybrid role, reporting in to the San Jose, CA office 3 days a week.  

What you’ll do (Role Expectations)

• Architect, develop, and optimize a low-latency, high-throughput AI Security plane utilizing Rust, specifically leveraging its async/await model for highly efficient I/O and service-oriented architecture.
• Build resilient, distributed, and scalable systems, emphasizing concurrency, fault tolerance, and robust messaging protocols.
• Implement and maintain gRPC services and APIs to ensure seamless integration of the AI Security plane with control and orchestration infrastructure.
• Systematically enhance performance across the entire stack, including LLM models, by employing profiling tools for both kernel-space and user-space components.
• Contribute actively to the team through technical documentation, system design reviews, code reviews, and by mentoring junior engineering staff.Lead complex, multi-functional projects and initiatives, defining the technical roadmap and driving execution across teams.

Who You Are (Success Profile)

• Drive the mission with an owner's mindset, seamlessly bridging high-level strategy and detailed, hands-on execution.
• Actively seek challenges and find complex solutions that deliver maximum impact.
• Deeply empathize with internal and external stakeholders, anchoring every decision in addressing their real-world problems.
• Maintain strong technical curiosity, continually seeking more secure, scalable, and effective methods to accelerate transformation.
• Connect your work to the company's broader mission, designing solutions to support high-growth, global organizational needs.

What We’re Looking for (Minimum Qualifications)

• 12+ years of software engineering experience
• Deep experience in systems programming using Rust, with a focus on asynchronous frameworks such as Tokio or async-std.
• Proven ability to design and implement horizontally scalable, highly available, and observable distributed systems.
• Strong command of Linux internals, including kernel-user space interaction, networking, sockets, and namespaces.
• Skilled in performance instrumentation, containerized environments, Git workflows, and CI/CD pipelines.

What Will Make You Stand Out (Preferred Qualifications)

• Expert in systems languages such as C/C++ or Rust, with a focus on performance optimization.
• Deep understanding of Linux networking stacks, Kubernetes networking, service meshes, and LLM model optimization.
• Practical experience with gRPC, Protobufs, and L4-L7 networking protocols, including TCP/IP, TLS, QUIC, HTTP, and WebSockets (WSS).
• Direct experience in validating AI-driven products, including understanding of model performance metrics and MLOps principles.

#LI-BH1
#LI-Hybrid

Role

We are looking for a Lead Workday Engineer (People Tech & AI), for a hybrid location based in San Jose 3 days a week, reporting to the Director, Enterprise Systems Programming in the IT/Corporate Apps department. In this role, you will lead the evolution of our HR tech stack by blending deep Workday expertise with AI-driven development. You will leverage AI-assisted coding and agentic workflows to build automated solutions that solve complex People & Culture challenges and help us build seamless, intelligent employee experiences across our entire HR landscape.

What you’ll do (Role Expectations)

• Own the full lifecycle of cross-platform People & Culture solutions, bridging systems like Workday, ServiceNow HRSD, and broader HR tooling to architect secure, scalable, and seamless employee experiences
• Spearhead the evaluation, design, and implementation of AI-driven HR solutions and leverage AI applications, AI-assisted coding practices, and multi-agent orchestration to accelerate development, optimize data mapping, and build robust automated workflows
• Serve as the senior subject matter expert and strategic partner to HR, Payroll, and IT executives, translating complex technical concepts and AI capabilities into actionable business value, ensuring optimal user experiences and cross-platform synergy
• Drive AI and P&C technology investments by developing data-driven business cases with clear ROI, defining key success metrics for adoption, and creating compelling presentations to communicate strategy and impact to executive leadership
• Develop and execute comprehensive implementation plans using agile methodologies, and design robust test plans and scripts to ensure all Workday integrations and custom AI applications are delivered on time, high-quality, and bug-free

Who You Are (Success Profile)

• You thrive in ambiguity, are comfortable building the path as you walk it, and see ambiguity not as a hindrance but as the raw material to build something meaningful.
• You are a learner who has a true growth mindset and never stops developing yourself, actively seeking feedback to become a better partner and a stronger teammate, and you love what you do with purpose.
• You are a pragmatic builder who is obsessed with creating, iterating, and shipping, and you aren't afraid to roll up your sleeves to build the first version yourself, balancing the drive for technical excellence with the need to deliver value to users quickly.
• You champion simplicity, are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans, and you are a precise communicator who brings clarity and focus to every interaction.
• You are resilient and adaptable, viewing change as an opportunity and setbacks as temporary, maintaining composure and focus in high-pressure situations to guide yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• 8+ years of software engineering or systems integration experience, including at least 4 years of proven architectural-level understanding of the Workday Integrations framework (Payroll Integrations, Core Connectors, EIBs, Workday Studio, and advanced reporting like BIRT or Custom RaaS APIs)
• Demonstrated experience integrating AI tools, Large Language Models (LLMs), or MCP frameworks into enterprise workflows
• Practical experience with AI prompting techniques and AI-assisted development practices for faster deployment of complex logic
• Proven ability to lead agile teams, manage vendor relationships, and thrive in a rapidly evolving, high-growth environment
• Demonstrated ability to build business cases, justify investments, and measure ROI of P&C technology solutions

What Will Make You Stand Out (Preferred Qualifications)

• Previous experience integrating modern ATS platforms like Greenhouse or managing ServiceNow HRSD modules with complex, AI-enabled agentic flows
• Deep knowledge of Workato or similar middleware, experience running IT operations for custom P&C applications, and familiarity with hyperscaler infrastructure such as AWS, GCP, or Azure
• Hands-on experience deploying AI agents within distinct HR processes, coupled with a strong background in UX and design thinking to ensure seamless, intuitive employee adoption

#LI-YC2 #LI-Hybrid

We are looking for a Specialist Solution Architect to join our Global Speciality Sales team. This is a remote role based in the Western Region - USA, reporting to the Sr. Director, Specialist Solution Architects. The Specialist Solution Architect serves as the primary technical lead and strategic advisor, guiding customers across the Americas to secure workloads and traffic across diverse hybrid and multi-cloud environments by leveraging Zscaler’s Zero Trust Architecture to achieve key business outcomes. The role will also collaborate with field teams (SEs, AEs, and Transformation Architects) at the highest levels, driving internal and customer-facing enablement for Zero Trust Cloud use cases to accelerate Zscaler’s regional GTM strategy. Furthermore, The Specialist Solution Architect will act as a critical link between the field and Product Management, providing real-world insights and customer feedback to influence the Product Roadmap and ensure Zscaler’s innovations continue to solve the most complex Cloud Security challenges.

What you’ll do (Role Expectations)

• Serving as the technical expert for Zero Trust Architecture in Cloud environments, focusing on AWS, Azure, and GCP
• Collaborating with sales and engineering teams to provide technical insights that influence the Product roadmap
• Leading conversations about Zero Trust Security trends, strategies, and deployment with customers at all organizational levels
• Running customer Proof-of-Value engagements in collaboration with Sales Engineers, demonstrating Zscaler’s unique value proposition
• Providing competitive insights and positioning Zscaler solutions as the best alternative

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent certifications/experience
• 5+ years of experience in technical sales, systems engineering, or enterprise security architecture
• Hands-on expertise in security, networking, and applications, with practical experience on at least one of AWS, Azure, or GCP
• Strong presentation and communication skills to engage with diverse audiences, from practitioners to executives

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with Zscaler Internet Access (ZIA) and Private Access (ZPA) or similar enterprise-grade SSE/SASE/Cloud Security solutions
• Experience delivering cloud-based solutions within Zero Trust frameworks
• Expertise in modern networking (SD-WAN) and cloud connectivity strategies

#LI-Remote 

#LI-AA5

We are seeking a Principal Analytic Engineer to lead how data is sourced, integrated, and structured within our data warehouse, ensuring it is consistent, trusted, and usable for decision-making across PMC.

This role sits at the intersection of data engineering and business operations, with responsibility for shaping how data from a wide range of systems—CMS platforms, web analytics tools, ad tech systems, and internal applications—is collected, standardized, and made available for use.

As a senior individual contributor, you will operate as both architect and hands-on builder: designing data models, guiding data ingestion and transformation strategies, and working closely with stakeholders to ensure data aligns with real business needs across editorial, audience, product, and advertising teams.

You will have a chance to work on some of the best brands in media including You will have the chance to work on some of the largest, trusted brands in entertainment and fashion news, including Variety, Billboard, Deadline, WWD, and Rolling Stone.

Key Responsibilities

• Define how data is sourced and integrated from key systems, including CMS platforms, web analytics tools, ad tech platforms, and business applications
• Evaluate and establish appropriate sources of truth across competing systems, ensuring data is accurate and fit for use
• Design and maintain scalable data models that transform raw data into structured, business-ready datasets
• Lead development of transformation workflows (e.g., dbt) within Snowflake and BigQuery environments, contributing hands-on to complex modeling efforts
• Establish standards for how data is organized, documented, and used across the data warehouse
• Implement data quality checks, validation frameworks, and monitoring to ensure reliability of critical datasets
• Partner with Data Engineering on ingestion patterns, pipeline performance, and upstream data quality
• Structure data to support consistent interpretation across Editorial, Product, Audience, Ad Sales, and Finance teams
• Support BI tools (e.g., Looker) with well-defined, governed datasets and reduce fragmentation in reporting
• Translate business needs into scalable data solutions, working closely with cross-functional stakeholders
• Act as a central authority on data meaning, resolving questions around definitions, discrepancies, and interpretation
• Establish best practices for modeling, transformation, and documentation while mentoring analysts and engineers
• As part of a team, support break/fix scenarios when necessary and serve in an on-call rotation

Qualifications

You do not need to check every box for the experience below. If you are passionate about this opportunity, we would love to hear from you.

• 8+ years of experience in data engineering, analytics engineering, or related roles
• Expert-level SQL and strong experience designing scalable data models for analytics and reporting use cases
• Proven experience working with modern data warehouses (e.g., Snowflake, BigQuery) and cloud environments (AWS and/or GCP)
• Hands-on experience building transformation workflows (e.g., dbt or similar tools)
• Experience working with complex, multi-source data environments (e.g., combining web analytics, ad tech, and business systems)
• Familiarity with Google Analytics 4 and Parsely analytics platforms
• Experience working with advertising data (e.g., Google Ad Manager, programmatic ecosystems)
• Experience evaluating and reconciling conflicting data sources
• Experience implementing data quality, validation, and monitoring practices
• Experience supporting BI tools such as Looker

What Success Looks Like

• Clearly defined and trusted sources of truth for audience, content, and revenue data across all teams
• Elimination of recurring discrepancies between key systems (e.g., web analytics vs. ad platforms) through thoughtful data modeling and source selection, and ability to confidently answer the question “why are these two numbers different?”
• Increased business partner engagement in self-serve analytics platforms, with teams relying on shared, well-structured datasets instead of one-off analyses
• Broad adoption of standardized data models, minimizing fragmented reporting and duplicate logic
• Strong alignment across Editorial, Product, and Ad Sales on how performance is measured and interpreted
• Increased confidence in data, with stakeholders relying on outputs without needing to independently validate or reconcile them
• A unified, usable view of data that enables better decisions around content performance, audience engagement, and monetization by consolidating overlapping data models and taking ownership of term definitions across all data models to bring standardization and clarity to reporting semantics across the company
• This role succeeds through strong collaboration with other members of the Data team—sharing context, reviewing work, and co‑owning decisions—so that improvements to data models and metrics are durable beyond any single individual.

As PMC values in-person collaboration and team cohesion, employees work onsite 4 days a week and 1 day remotely with a focus on maintaining a vibrant and inclusive culture.

Typical wage range: $150k - $170k. Factors that could be used to determine your actual salary may include your specific skills, years of experience and comparison to current employees already in this role. If you have more or less experience than specified on this job posting, please apply and list your salary expectations.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors).

It’s all About You…

PMC's comprehensive benefits package is thoughtfully designed to support every aspect of your life, empowering you to thrive both personally and professionally. We offer PMC-Paid Healthcare with no employee paycheck contributions on medical, dental, and vision for you and your family. PMC also offers Flexible Spending Accounts (Healthcare, Dependent Care & Commuter), an Employee Assistance Program, Life Insurance, Short- & Long-Term Disability, Paid Parental Leave, and a 401(k) Retirement Plan with an Employer match. Employees are also eligible to take advantage of company discounts and perks including Pet Insurance, Home & Auto Insurance, Mortgage discounts, and a variety of other savings on wellness, lifestyle, and financial essentials. As part of PMC's dedication to consistently meeting employees’ needs, we are currently launching a new Flexible Vacation Policy.

At PMC, we believe working in a highly collaborative, office-first environment fosters real-time communication, spontaneous idea sharing, and stronger interpersonal relationships that drive innovation and team cohesion. PMC prioritizes in-person collaboration and does not offer remote-only roles.

Purpose

As an Oracle Fusion Solution Architect, you will be responsible for designing, implementing, and overseeing the technical aspects of the Oracle Fusion Cloud applications, with a specific focus on the Finance business capability. You will collaborate closely with stakeholders from the business, IT peers, internal and external functional consultants, and developers, to ensure the successful delivery of Oracle Fusion Cloud solutions that enable our business requirements. Your expertise will be critical in guiding the technical design, development, and integration of Oracle Fusion Cloud applications to achieve optimal performance and scalability.

The Role

• Lead the technical design and architecture of Oracle Fusion Cloud solutions withing the Finance business
• Collaborate with business stakeholders and functional consultants to understand business requirements and translate them into technical designs
• Provide guidance and expertise on the configuration, customization, and extension of Oracle Fusion Cloud applications to meet specific user needs
• Configure, test, and deploy Oracle Cloud Financials modules, supporting all phases of the project lifecycle
• Guide business process optimization and transformation in the context of Oracle Cloud
• Develop solution blueprints, process flows, gap analysis, and technical documentation
• Conduct technical feasibility assessments and provide recommendations for system enhancements, upgrades, and migrations
• Collaborate with development, integration, and security teams to ensure adherence to architectural designs and standards during the development lifecycle
• Troubleshoot complex technical issues related to Oracle Fusion Cloud applications and provide timely resolutions
• Stay up to date with the latest Oracle Fusion Cloud releases, features, and industry trends to provide proactive recommendations and enhancements
• Support cutover, UAT, and production deployment, ensuring business readiness

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export control
  • 15+ years in Oracle ERP experience with 7+ years in Finance
  • Expertise and consulting field experience across several Oracle Fusion Financial modules, such as:
    • General Ledger
    • Payables/Receivables/Fixed Assets
    • Cash Management & Expenses
    • Tax Automation & Configuration
    • Financial Reporting (SmartView, Financial Reporting Studio, Fusion Analytics Warehouse)
    • Accounting Hub and Subledger Integrations
  • Demonstrated ability to design scalable, future-ready Oracle Cloud ERP Financials solutions aligned to industry and Oracle leading practices
  • Proficiency with relevant Oracle utilities, tools and middleware
  • Excellent communication, documentation, and client management skills
  • Comfortable working in the defense industry

Preferred Qualifications

• Bachelor’s degree
• Oracle certifications in Oracle Fusion Cloud technologies
• Experience with Oracle Fusion Cloud implementation methodologies, such as Oracle Unified Method (OUM) or Oracle Application Implementation Methodology (AIM)
• Background in aerospace, automotive, defense, or manufacturing industries
• Familiarity with other enterprise systems including MES, PLM

Work Environment

• Onsite
• Remote

The role 

The Technical Director of Media and Entertainment, AI Infrastructure is a senior engineering leader who will initially operate as an individual contributor at the intersection of deep AI infrastructure engineering and the business of media and entertainment, with a clear path to building and leading a team as the business scales.

You will work alongside CTOs and engineering leaders at studio groups, VFX houses, gaming studios, agency holding companies, and generative AI model companies. Your role is not to pitch them; it is to build with them. You will translate their most complex infrastructure problems into engineered solutions, own the technical relationship with our most strategic ISV and cloud-native partners, and use what you learn in the field to directly influence the M&E product roadmap alongside Nebius's global Head of Product and Head of Engineering.

This is a ground-floor opportunity to define what AI-native infrastructure looks like for an industry in the middle of a fundamental transformation.

You are welcome to work remotely from the United States (SF Bay Area or NYC preferred) Travel expectations 10%-20% for executive meetings and key industry events. 

Your responsibilities will include: 

AI Infrastructure Architecture

• Own the Technical Blueprint: Personally architect the infrastructure solutions for our most strategic M&E partnerships , studio-scale content production pipelines, agency data consolidation plays, generative AI model deployments. These architectures must be engineered to survive real-world scale, not just pass a POC.
• The Physics to P&L Narrative: Fluently demonstrate to executive stakeholders how infrastructure decisions , data lake locality, storage tiering, inference optimization, directly impact their business model and operability.

Forensic Requirement Gathering

• Deconstruct the Bottleneck: Go beyond the stated problem to find the technical truth. Translate vague business goals (e.g., “We need lower rendering costs”) into precise engineering requirements (e.g., “We need to optimize the inference batch size on L40s to reduce cost-per-token by 30%”).
• Map the Transition: Identify exactly where a customer sits on the curve from legacy service bureau to AI-native tech platform and prescribe the specific infrastructure intervention needed to move them forward.

ISV & Partner Technical Strategy

• Build and Validate the Integration Layer: Identify, engage, and technically validate relationships with the most critical ISVs in the media and entertainment landscape, from rendering and VFX toolchains to generative AI platforms.
• Define the Standard: It is not enough to support these tools. You will define the reference architectures for how they run best on Nebius infrastructure, and work directly with ISV engineering teams to build and publish those standards.
• Decide What’s Worth Doing: In partnership with the GM, evaluate ISV and partner opportunities on their technical merit and strategic leverage , and be equally rigorous about what not to pursue.

Internal Technical Influence

• Shape the M&E Roadmap: Use forensic evidence from the field to prioritize and justify the M&E vertical roadmap. You will work directly with Nebius’s global Head of Product and Head of Engineering to translate partner and customer needs into product direction.
• Lead the M&E Product Summit: Chair a quarterly summit with Core Engineering leadership, using field evidence to drive roadmap decisions and maintain vertical momentum.

We expect you to have: 

• 12+ years of experience in cloud infrastructure, platform engineering, distributed systems, or a closely related technical domain.
• Executive Presence: Capable of commanding a room of engineers and presenting a layered technical roadmap to a C-Suite. You have operated at the top-to-top level , your counterparts are CTOs and VPs of Engineering.
• Builder Mentality: This role begins as a hands-on individual contributor position. You will architect and ship solutions alongside partners and build the assets (reference architectures, integration playbooks, technical frameworks) that make Nebius's M&E infrastructure strategy defensible and scalable. As the business case develops, this role is explicitly designed to grow into a team-building and leadership function, with the expectation that you will recruit, shape, and run that team. You may have come from a startup, run your own company, or operated within a large org in a way that felt like building from zero, and you know how to transition from maker to multiplier.
• Product-Minded: Experience defining a platform strategy, not just executing tickets. You are comfortable telling a customer “No” when a request creates technical debt, and proposing a better alternative.
• Ambiguity Tolerance: You thrive in environments where requirements are evolving. You do not wait for a roadmap; you build it.
• Forensic Mindset: You are not satisfied with surface-level answers. You dig into the kernel, the logs, and the P&L to find the truth.

AI Infrastructure Expertise

• Mastery of the Stack: Expert-level, production-grade knowledge of GPU architectures (H100, L40s), Kubernetes orchestration including Soperator, high-performance and parallel file systems (e.g., Lustre, WEKA), data lake architecture, and networking constraints (InfiniBand/Ethernet).
• Inference Optimization: You understand the nuances of model serving , batch sizes, quantization, KV caching, latency tradeoffs , and can architect solutions for both massive throughput and real-time (sub-50ms) demands.

Domain Context: Media & Entertainment

Industry Fluency: You have operated within the M&E ecosystem and can speak to the infrastructure implications across the following sub-sectors:

• Gaming
• Multimodal Generative Models
• AdTech
• VFX / Content Production

Non-negotiable: Candidates without deep, production-grade working knowledge of GPU infrastructure and inference-based solutioning will not be considered. This is a hard requirement, not a preference.

AI Infrastructure Expertise 

• Mastery of the Stack: You must be an expert in the physics of AI infrastructure. This includes deep, production-grade knowledge of GPU architectures (H100 vs. L40s), Kubernetes orchestration (K8s), high-performance storage parallel file systems (e.g., Lustre, WEKA), and networking constraints (InfiniBand/Ethernet). 
• Inference Optimization: You understand the nuances of model serving—batch sizes, quantization, KV caching, and latency tradeoffs—and can architect solutions for both massive throughput and real-time (sub-50ms) demands. 

It will be an added bonus if you have:

• Hands-on experience with VFX pipelines, studio-scale content production workflows, or the cloud tooling that powers them , render farm management, distributed simulation, asset pipeline tooling. You understand how content gets made, moved, and transformed at scale, and what infrastructure makes that possible.
• Strategic Empathy: The ability to distinguish between customers who need raw bare-metal access and those who need managed endpoints, and the wisdom to prescribe the right path.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote Work Reimbursement: Up to $85/month for mobile and internet.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $295k - $365k OTE (On Target Earnings) + Equity based on your experience.

We are looking for an AI Developer Advocate to join our Developer Relations team. In this role, you will help promote MongoDB's artificial intelligence (AI) capabilities. As more developers choose MongoDB as their data platform, your responsibilities will include directly engaging with the community, building strategic partnerships with AI companies, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to Fortune 500 companies—to integrate advanced data and AI capabilities into their applications and solutions. If you are passionate about helping builders explore the possibilities of AI and enjoy cultivating a vibrant developer ecosystem, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in the San Francisco Bay Area. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

We are looking to speak to candidates who are based in San Francisco for our hybrid working model.

Candidate Profile

We are excited to welcome an influential individual to our team who is already a well-established voice in AI. From your experience over the past few years, we’ll see you in videos and at events sharing technical insights, leading discussions, and inspiring others to effectively use AI and ML capabilities. You’ve also created articles, tutorials, and hands-on workshops to teach builders best practices and equip them to leverage AI in their apps. 

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a builder role, such as a data scientist or developer, where they crafted AI solutions in production. They will have 8+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

Our ideal candidate will also have connections with AI companies and communities in the San Francisco Bay Area. You will work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem. 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. Along with an appreciation for the key AI-related features of our platform, such as vector search and Voyage AI, you will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry.

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with others at all levels, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

Below are examples of the types of work you will be doing. Your mix of activities will vary week to week based on priorities and event schedules. 

• Build on a solid foundation of ML/AI expertise, adding to your database experience to become a MongoDB expert
• Expand your knowledge of embedding models and rerankers to become an expert in Voyage AI
• Collaborate with our events and field teams to engage developers and founders in the Bay Area at meetups, events, hackathons, and startup houses
• Speak at strategic AI events and lead workshops at high-profile conferences such as AWS re:Invent 
• Create and update tutorials, articles, videos, and workshops along with their associated workflows or workflows or code examples
• Provide feedback to our Product and Technology team, serving as the voice of the developer as new products are scoped and planned
• Regularly interface with Partner Managers to identify opportunities to work with key AI partners to create content and partner on virtual and in-person events that showcase how MongoDB is part of the larger AI ecosystem 
• Partner with our community team to support engagement with third-party and first-party user groups (MUGs), Champions, and influencer programs across the region
• Lead one-hour sessions (both virtual and in-person) with customer teams to evaluate their AI use cases and provide recommendations on how they can better utilize MongoDB

Requirements

• Expertise in building AI or ML solutions and comfortable building agentic solutions
• Advanced familiarity with several AI coding and workflow tools, and how platforms are recommended through content, preference, and integration
• Expertise with one or more complementary programming languages (Python or JavaScript preferred)
• Knowledgeable and connected in the Bay Area AI ecosystem
• Prolific author of content (tutorials, how-to guides, readmes) and associated code to help developers learn
• Established portfolio or active contributor to AI examples and Agent Skills in GitHub
• Engaging presenter at in-person events, videos, webinars, or live streams 
• Up to 25% of time traveling to Bay Area engagements (like meetups, events, hackathons, and startup houses)
• Up to 10% of time traveling outside of the Bay Area for industry events 

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: 1273376493

• Own and build Nebius’ ISV partner ecosystem from the ground up with your key target accounts — defining strategy, segmentation, onboarding models, and long-term growth frameworks
• Identify, recruit, and close high-impact AI and ISV partners that can drive net-new customer acquisition and revenue growth
• Develop and scale repeatable co-sell motions, embedding partners into Nebius’ core sales plays and strategic opportunities
• Drive partner-sourced and partner-influenced pipeline, with a strong focus on net-new accounts and expansion
• Build structured frameworks for joint business planning, pipeline generation, forecasting, and performance management
• Lead joint go-to-market execution, ensuring partners are actively generating demand and influencing deals
• Drive partner technical readiness and platform adoption through onboarding, enablement, and joint solution development
• Act as a key architect of Nebius’ partner program, including co-sell models, incentives, and engagement frameworks
• Stay deeply connected to the AI ecosystem, identifying emerging players, trends, and high-leverage partnership opportunities
• Represent Nebius across industry events, ecosystem forums, and strategic partner engagements
• Serve as the voice of partners internally, working cross-functionally with Sales, Product, Engineering, Marketing, Legal, and GTM teams

• 10+ years of experience in partnerships, business development, or indirect sales within B2B technology
• Strong understanding of the AI/ML and cloud ecosystem (infrastructure, models, data pipelines, ISVs, tooling
• Proven track record of building partner ecosystems from early stages — not just managing existing relationships
• Demonstrated ability to source, negotiate, and close strategic partnerships that drive measurable business impact
• Proven success in driving net-new pipeline, opening new accounts, and scaling revenue through repeatable co-sell programs
• Experience leading co-sell and joint go-to-market motions with sales organizations
• Solid grasp of cloud platforms and consumption-based business models
• Technical fluency — able to engage in architecture discussions, use-case validation, and product alignment
• Builder mindset — comfortable operating in ambiguity and creating structure from scratch
• Strong executive presence with experience navigating complex, multi-stakeholder environments
• Excellent communication, negotiation, and prioritization skills

• Experience working closely with Product and Engineering teams to influence partner integrations and roadmap
• Background in AI-intensive industries such as Financial Services, Healthcare, Robotics, Retail, or Automotive

• You are building the ecosystem — not inheriting one
• Direct ownership of partner-driven revenue and growth
• High autonomy and visibility across the business
• Opportunity to shape how modern AI partnerships are defined and executed at Nebius

Key employee benefits in the US:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

 Compensation

• We offer competitive salaries, ranging from $250k - $315k OTE (On Target Earnings)- Accelerators for overachievement and equity participation available

The role 

Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world.

The Field CTO for Physical AI & Robotics is a senior technical leadership role responsible for converting raw market demand into a scalable, domain-specific platform. You will own the technical product strategy, ensuring Nebius evolves its capabilities to support the unique demands of Physical AI workloads. Operating at the intersection of deep customer engagement and platform engineering, you will serve as a principal technical partner in strategic opportunities—engaging directly with customer CTOs to map Nebius’ existing capabilities to their immediate needs to help close complex deals. You will not only identify customer challenges but also architect the solution patterns that solve them for the entire market.

This is a definitive "Zero to One" opportunity to define a new category of cloud infrastructure from the ground up.

You’re welcome to work remotely from the Unites States (SF Bay Area, CA & Austin, TX Preferred)

Your responsibilities will include: 

• Executive Technical Leadership: Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers.
• Lighthouse Deal Support: Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals.
• Technical Product Strategy: Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams.
• Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers.
• Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market.
• Architectural Guidance: Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows.
• Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions.
• Ecosystem & M&A: Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets.
• Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D. 

We expect you to have: 

• 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems.
• 5+ years of experience in AI, HPC, and/or robotics, with exposure to production or large-scale systems.
• Prior experience in a senior technical leadership role (e.g., Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer).
• Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO.
• GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets.
• Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets.
• Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking.
• Robotics Fluency: Experience with Physical AI and robotics workflows, including simulation, synthetic data, training pipelines, and real-world deployment constraints.
• Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
• Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving. 

Why Nebius:

• Build Solutions: You aren't just selling infrastructure; you are shaping the cloud architecture that will power the next generation of Physical AI
• Frontier Technology: Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners
• Strategic Impact: Operate with real influence over product direction, platform strategy, and ecosystem development
• Ownership: Join a team that values technical depth, ownership, and speed of execution
• Mission: Help define how intelligence moves from the data center into the physical world

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We are looking for a visionary Staff Technical Lead Manager (TLM), IT Systems Engineering to build and lead our Applications Engineering team. This is a unique opportunity to shape the strategy, technical direction, and culture of a team that will directly impact the entire organization. As a Staff TLM, you will be responsible for both managing a talented team of systems engineers and system administrators and providing hands-on technical leadership. You will architect a cohesive and secure SaaS ecosystem, drive our enterprise AI strategy, and champion a culture of automation and continuous improvement. Your team manages the critical SaaS applications, integrations and automations that powers our engineering and business operations. This team drives the use of Enterprise AI to create intelligent, end-to-end solutions that drive efficiency and unlock new capabilities for everyone at Aurora.

In this role, you will

• Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
• Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.). Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms.
• Provide technical guidance, review system architecture, and contribute to complex integration and automation projects. Serve as the primary technical expert for the team's domain.
• Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions. Champion best practices for application governance, security, and data management.
• Lead the strategy and execution of enterprise AI solutions and productivity tools.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in IT, software engineering, or systems engineering, with at least 3+ years in leading engineering teams in delivering complex, large-scale enterprise applications or platform services.
• Deep, hands-on experience administering and integrating a suite of modern SaaS applications (e.g., Atlassian suite, Google Workspace, Slack, an incident management platform)
• Strong proficiency in a scripting language (e.g., Python, JavaScript/Google Apps Script) and extensive experience with APIs, webhooks, and integration platforms
• Experience in implementing and leveraging AI solutions.
• Strong understanding of APIs, integrations, and cloud-native architectures.
• Strong communication and presentation skills. 

The base salary range for this position is $154,000 - $247,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. 

We are looking for a visionary Staff Technical Lead Manager (TLM), IT Systems Engineering to build and lead our Applications Engineering team. This is a unique opportunity to shape the strategy, technical direction, and culture of a team that will directly impact the entire organization. As a Staff TLM, you will be responsible for both managing a talented team of systems engineers and system administrators and providing hands-on technical leadership. You will architect a cohesive and secure SaaS ecosystem, drive our enterprise AI strategy, and champion a culture of automation and continuous improvement. Your team manages the critical SaaS applications, integrations and automations that powers our engineering and business operations. This team drives the use of Enterprise AI to create intelligent, end-to-end solutions that drive efficiency and unlock new capabilities for everyone at Aurora.

In this role, you will

• Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
• Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.). Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms.
• Provide technical guidance, review system architecture, and contribute to complex integration and automation projects. Serve as the primary technical expert for the team's domain.
• Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions. Champion best practices for application governance, security, and data management.
• Lead the strategy and execution of enterprise AI solutions and productivity tools.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in IT, software engineering, or systems engineering, with at least 3+ years in leading engineering teams in delivering complex, large-scale enterprise applications or platform services.
• Deep, hands-on experience administering and integrating a suite of modern SaaS applications (e.g., Atlassian suite, Google Workspace, Slack, an incident management platform)
• Strong proficiency in a scripting language (e.g., Python, JavaScript/Google Apps Script) and extensive experience with APIs, webhooks, and integration platforms
• Experience in implementing and leveraging AI solutions.
• Strong understanding of APIs, integrations, and cloud-native architectures.
• Strong communication and presentation skills. 

The base salary range for this position is $154,000 - $247,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

The Space Domain Awareness Network (SDANet) is an anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD.

The Space team also supports multiple other programs focused on earth sensing, sensor orchestration, and orbital satellite missions in LEO and GEO.

ABOUT THE JOB 

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners.

In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages. A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods. Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 5+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

The Space Domain Awareness Network (SDANet) is an anchor program in the Space organization, growing it’s support footprint from a handful to dozens of telescopes and Early Warning Radar systems globally. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD.

The Space team also supports multiple other programs focused on earth sensing, sensor orchestration, and orbital satellite missions in LEO and GEO.

ABOUT THE JOB 

SDANet and other programs are standing up Lattice stacks on AWS and Azure environments to integrate with mission partners.

In this role, you will be responsible for researching, understanding, and planning the deployment strategy into classified government cloud infrastructure. You will design cloud networking and engineering solutions to meet security, cost, and performance requirements, and deploy Anduril software into government infrastructure, promoting it through various stages. A significant part of your duties will involve identifying and triaging Kubernetes issues in the deployed environment, developing response and mitigation plans, and partnering with government platform management to address these issues effectively. You will be tasked with designing and implementing requirements for observability, alerting, and maintenance to ensure smooth operations.

Additionally, you will deliver and maintain accreditation artifacts and standards for the environments and systems you are responsible for. You will stand up and maintain representative environments at the unclassified level for testing and development purposes, and provide direct in-person expertise during mission-critical periods. Ensuring the deployed system meets security and compliance requirements through regular updates and host OS patching will also be part of your responsibilities. Your role is crucial to maintaining the integrity and performance of the deployed infrastructure.

REQUIRED QUALIFICATIONS

• 8+ years of working experience in DevOps or SRE type roles
• Strongly proficient in utilizing cloud services like AWS, Azure, or Google Cloud Platform
• Experience with IaC (Terraform, Cloudformation, Puppet, Ansible, etc)
• Strong experience with containerization technologies such as Docker and orchestration tools like Kubernetes and Helm
• Deep understanding of networking concepts, TCP/IP protocols, and security best practices
• Programming ability in one or more of the general scripting languages (Python, Go, Bash, Rust, etc)
• Strong problem-solving skills and the ability to work well under pressure
• Excellent communication and collaboration skills to work effectively with cross-functional teams and develop internal roadmaps based on the needs of other teams
• Experience deploying complex and scalable infrastructure solutions
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified Solutions Expert, or Google Cloud Certified Professional
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Extensive expertise in Kubernetes and Helm
• Hold a DoD 8570 IAT Level 1 or 2 certification
• Cisco Certified Network Associate (CCNA)
• Experience with government Cyber certification processes
• Experience installing, sustaining, and troubleshooting data systems for DoD or otherwise sensitive customers
• Familiarity with DoD-managed network enclaves (NIPR, SIPR, etc.)
• Military service background (particularly with Space experience)

Software Systems Test Engineer, Space

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Software Systems Test Engineer for our Space team, you will be instrumental in designing, building, and deploying the cutting-edge software and infrastructure that verifies the functionality and performance of our integrated space systems and flight hardware. This role focuses on creating robust, extensible, and automated test platforms and software, intended to be used by Anduril engineers for testing at all levels of integration, including unit-level testing, bus testing, testing technology-differentiated payloads, and testing full space vehicle systems. You will be called to apply best practices in systems architecture and software development to address the complexity of modern software ecosystems, ensuring test software is resilient, maintainable, extensible, and highly automated. You will be responsible for architecting and executing software solutions for test execution, data collection, analysis, remote monitoring, and fleet-level reporting.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. These programs require building and fielding resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and operators to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Architect and develop cloud-based software tools for automated space system test execution, data collection, analysis, remote monitoring, and fleet-level reporting, with an emphasis on extensibility and maintainability.
• Design and build automated test software platforms for use by other Anduril engineers to verify hardware modules, buses, payloads, and full space vehicle systems.
• Develop and maintain robust test reporting systems, ensuring test results are easy to investigate and providing clear logging for troubleshooting and anomaly resolution.
• Create and analyze metrics that are leveraged for debugging and monitoring of test system performance.
• Collaborate closely with mechanical, electrical, and systems engineers to integrate test software with satellite hardware, software, and firmware.
• Integrate test software across numerous teams, collaboratively identifying testing requirements and defining verification and validation strategies.

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Software Engineering, Computer Science, or a related technical field.
• Experience in designing, developing, and deploying automated test software and systems architecture for complex hardware, ideally in aerospace or robotics.
• Experience with cloud-based development, infrastructure, and data analysis tools.
• Proven ability to design for extensibility, maintainability, and resilience in software platforms.
• Proficiency in programming languages such as Python, C/C++, or similar, for developing robust test automation solutions.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Capable of solving complex technical problems with little oversight.
• Clear communication and organizational skills, including writing technical documentation and training material.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Advanced expertise with Python, Go, Rust, or C++.
• Experience with deployment tooling like Kubernetes, OpenShift, or Helm.
• Experience developing distributed systems or microservices for test infrastructure.
• Understanding of sensors and data acquisition electronics, with experience in developing software interfaces for them.
• Experience with testing/validation leveraging FlatSats, Hardware-in-the-Loop (HITL) testbeds.

ABOUT THE TEAM

We build robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense (AD) Team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of Unmanned Aerial System (UAS) threats. Working across product, engineering, sales, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems (FoS) in challenging operational environments worldwide.

ABOUT THE JOB

We are seeking a Senior Mission Data Platform Engineer to design, build, and operate the foundational data infrastructure that empowers our analytics and engineering teams. In this role, you will be the architect of a scalable, reliable, and easy-to-use platform that enables analytics engineers, data scientists, and software engineers to build high-impact analyses and data-driven applications.

You will combine deep expertise in cloud infrastructure, DevOps, and modern data systems to create a cohesive ecosystem. Applying Site Reliability Engineering (SRE) principles will be key to ensuring the performance and availability of these critical systems, which operate in both commercial cloud and classified environments. You will collaborate closely with platform users to understand their needs and remove friction, ensuring our data capabilities are a force multiplier for the entire organization. Your ability to deploy and maintain these mission-critical solutions will be essential, with occasional travel required for real-world implementation and support.

Key Responsibilities:

• Lead the design, development, and maintenance of a scalable, self-service data platform that serves as the foundation for analytics and data applications across the organization.
• Architect and manage the underlying cloud infrastructure using Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes), and CI/CD best practices to support the data platform.
• Partner with and empower platform users—including analytics engineers, data scientists, and software engineers—by providing robust tooling, clear documentation, and a seamless developer experience.
• Implement SRE principles to ensure the data platform is highly available, performant, and observable, establishing SLOs, automating operational tasks, and leading incident response for the platform.
• Evolve the platform's architecture by evaluating and integrating new technologies from the modern data stack to meet the ever-changing needs of the business.

REQUIRED QUALIFICATIONS

• 6+ years of experience in a combination of data platform engineering, cloud infrastructure, DevOps, or SRE roles.
• Active U.S. Department of Defense (DOD) Secret Clearance or higher and experience operating in air-gapped, classified, and/or other highly constrained network environments.
• Hands-on experience building and maintaining platforms with key components of the modern data stack, such as data lakehouse technologies (e.g., Apache Iceberg), query engines (e.g., Trino/Presto, AWS Athena), transformation tools (e.g., dbt), and real-time stream & batch processing platforms (e.g., Apache Kafka, Apache Spark).
• Extensive experience with Infrastructure-as-Code (IaC), particularly Terraform, for managing complex cloud environments (e.g., AWS, Azure, GCP).
• Strong proficiency in DevOps and software deployment practices, including containerization and orchestration (e.g., Docker, Kubernetes, Helm), GitOps & CI/CD tooling (e.g., ArgoCD, CircleCI), and observability/monitoring/APM platforms (e.g., Datadog, Grafana).
• Exceptional problem-solving and critical-thinking skills, with the ability to architect robust technical solutions for ambiguous and dynamic platform requirements.
• Excellent written and verbal communication skills, especially when communicating with a technical audience; an affection for documentation and a user-centric mindset.
• Procedural fluency in writing, debugging, profiling, testing, and maintaining performant Python and SQL code.
• Experience with data pipeline orchestration tooling (e.g., Flyte, Airflow, Dagster).
• Experience writing code in another language (e.g., Go, Java, Scala, JavaScript/TypeScript).

PREFERRED QUALIFICATIONS

• Ability to comprehend and appropriately modify software written in a systems or lower-level language such as C/C++, Rust, Zig, etc.
• Experience with setting up and managing infrastructure to support analytical workloads on-premises or in resource-constrained environments.
• Experience working with specialized data formats (e.g., MCAP, HDF5) common in domains like robotics.
• Experience with the Nix (dependency management & system configuration) ecosystem.
• Strong Linux fundamentals and troubleshooting skills.
• Prior defense, aerospace, or intelligence domain experience.
• Deep intellectual interest in the intersection of infrastructure, analytics, and the physical hardware world, motivated by our mission.
• Exposure to the technical, programmatic, and operational challenges of developing and deploying advanced systems across various command echelons.

ABOUT THE TEAM

For this unique opportunity, you'll be supporting both the Counter Intrusion team and the Air Defense team.

The Counter Intrusion team creates robotic systems that provide force protection capabilities by monitoring the perimeter of secure areas for approaching people, vehicles, and vessels. Leveraging advanced sensor fusion and autonomy, our products seamlessly render activity in the environment to Lattice's common operating picture.

The Air Defense team fields Anduril's most complex capabilities, deploying unique combinations of hardware and software tailored to different mission requirements and customer expectations. Our systems integration engineers internalize the nuances of each deployment, ensuring the technical success of the end-to-end solutions we ship.

ABOUT THE JOB

We are looking for a Site Reliability Engineer (SRE) to join AGD, our rapidly growing team in Irvine or Costa Mesa. SREs work with external stakeholders to determine the technical direction of cloud deployments and deliver with speed through analysis, design and code. They are comfortable leading large, focused projects. They lead in the development of Kubernetes cloud infrastructure, DevOps, CI/CD and improving the developer experience. You will be managing cloud deployments in AWS, Azure and on premise. This role emphasizes the continuous innovation in improving our cloud computing environments.

WHAT YOU’LL DO

• Architect, deploy and maintain infrastructure with cloud providers and Kubernetes (EKS)
• Collaborate with multi-disciplined teams to define and execute on internal and external deployments
• Promote SRE best practices in system resilience, performance monitoring and high availability
• Design, develop, and deliver solutions using infrastructure as code with tools like Terraform and Python
• Develop and maintain CI/CD pipelines for automated deployment
• Build strong relationships with internal and external customers to identify technical solutions to their problems
• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling

REQUIRED QUALIFICATIONS

• Holding active U.S. secret security clearance
• 6+ years of engineering experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development and/or cybersecurity
• Deep knowledge of the Kubernetes ecosystem (Docker, Helm, ArgoCD, Terraform)
• Experience with cloud services (AWS/Azure)
• Experience in software languages such as Go, Python, Rust, or C++
• Experience performing data-driven root cause analysis on complex systems
• Demonstrated ability to train peers or customers on the operation of a product
• Computer Science degree or equivalent

PREFERRED QUALIFICATIONS

• Experience with managing Kubernetes clusters of hundreds of nodes
• Knowledge of performance improvement techniques, metrics and alerting
• Experience with KubeVirt, qemu, virtualization and hypervisor technologies
• Experience with low-level frameworks, Linux and databases
• Excellent written and verbal communication skills

Join the IT Engineering team as a Staff AI Enablement Engineer, where you will serve as the primary driver of AI enablement and solutions engineering across all departments at Checkr. This is a highly visible, hands-on role that blends deep technical expertise with a passion for teaching and empowering others. You will lead the charge on understanding team-specific requirements, configuring and evaluating AI tools, building bespoke AI-powered solutions, and standing up templatizable workflows that scale across the organization. From running office hours and hackathons to creating reusable resources and training materials, you will be the go-to person for helping every team at Checkr unlock the full potential of AI.

What you’ll do:  

• Requirements Gathering & Enablement: Embed with internal teams across departments to deeply understand their workflows, gather requirements, identify high-impact AI use cases, and translate business needs into actionable technical solutions.
• Lead Office Hours & Hackathons: Own and facilitate recurring AI office hours for drop-in support and guidance. Design and lead company-wide AI hackathons that inspire experimentation, knowledge sharing, and the discovery of innovative use cases.
• AI Tool Configuration & Evaluation: Evaluate, configure, and recommend the right AI tools and platforms for the organization. Stay on top of the rapidly evolving AI tooling landscape and make informed build-vs-buy recommendations.
• Build Bespoke AI Solutions: Design, develop, and deploy custom AI solutions tailored to specific team needs—leveraging LLMs, RAG architectures, agentic workflows, and automation frameworks to solve real business problems.
• Create Resources & Artifacts: Develop reusable playbooks, prompt libraries, workflow templates, how-to guides, and reference architectures that enable teams to self-serve on AI adoption.
• Templatize AI Workflows: Architect and implement standardized, templatizable AI workflows that can be adapted and deployed across multiple teams and use cases, driving consistency and scale.
• Training & Teaching: Lead hands-on training sessions, workshops, and demos to teach teams how to effectively use AI tools and integrate them into their day-to-day work. Act as a force multiplier by building AI fluency organization-wide.
• Cross-Functional Collaboration: Partner closely with Engineers, Business Systems, Security, Data Engineering, and other AI Solutions Engineers to integrate AI technologies into existing systems, ensuring security, compliance, and scalability.
• Strategic Planning & Roadmapping: Contribute to the AI strategy and roadmap at the organizational level, aligning initiatives with business priorities and ensuring AI investments deliver maximum value.
• Communicate & Evangelize: Present findings, demo solutions, share progress updates, and advocate for AI adoption with stakeholders ranging from individual contributors to executive leadership.

What you’ll bring:  

• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience. A graduate degree is a plus.
• 5-7+ years of experience in engineering, solutions engineering, or technical enablement roles, with a track record of deploying solutions that measurably enhance productivity.
• 4+ years of hands-on experience developing AI-centric products and solutions, including machine learning, generative AI, LLMs, RAG architectures, agentic frameworks, and prompt engineering.
• Deep proficiency in Python and experience with AI frameworks and tools such as LangChain, LangGraph, LlamaIndex, OpenAI API, and similar; familiarity with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure).
• Demonstrated ability to lead enablement programs—including running office hours, hackathons, training sessions, and creating scalable documentation and resources.
• Proven experience gathering requirements from non-technical stakeholders and translating them into well-scoped technical solutions.
• Exceptional ability to tackle open-ended, ambiguous problems in unstructured environments, synthesizing complex information into actionable plans and deliverables.
• Strong communication and presentation skills, with the ability to make complex AI concepts accessible to diverse audiences—from engineers to executives.
• A builder’s mindset: you are equally comfortable architecting a solution, writing production code, creating a training deck, and facilitating a workshop.
• A deep passion for AI and a genuine desire to help others harness its potential to transform how they work.

What you’ll get:

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend, home office stipend

#LI-TD1

ABOUT THE TEAM

Anduril's Security Engineering team is looking for a security engineer to focus on building world class defensive controls to protect the infrastructure around our advanced defense technology products. This is a role with a direct focus on securing Anduril's OT (Operational Technology) and ICS (Industrial Control Systems) environments. In this role, you will design and implement foundational security solutions playing a critical role in Anduril's rollout of cutting edge factory systems.

ABOUT THE JOB

WHAT YOU’LL DO

• Lead OT risk assessments, gap analyses, and develop a multi-year OT security roadmap
• Architect and implement defensive security controls for cloud, production, and corporate environments
• Support the deployment, configuration, and maintenance of security tools
• Build systems to support automation, visibility, and threat detection for efforts across various information security and infrastructure teams
• Independently drive security initiatives and foster a security-first mindset across the organization
• Work closely with factory production teams to review designs and use-cases, ensuring our environments are secure by design

REQUIRED QUALIFICATIONS

• Experience with routing, switching, and network design principles
• Familiarity with zero trust architecture and segmentation strategies when it comes to OT networks
• Experience conducting security architecture or design reviews for OT/ICS environments
• Experience with threat modeling frameworks and applying these concepts to the OT/ICS domain (e.g. MITRE ATT&CK for ICS)
• Experience with programming in one or more general purpose languages (Python, Go, Rust, etc)
• Experience developing and implementing defensive controls in corporate and industrial production environments
• Ability to work autonomously and take ownership of complex projects
• Have participated in or supported incident response events
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Ability to travel up to 50%

PREFERRED QUALIFICATIONS

• Familiarity with OT protocols (e.g., Modbus, DNP3, Ethernet/IP) and ICS environments
• Experience with specific ICS/SCADA vendor platforms (Siemens, Rockwell, Honeywell, etc.)
• Experience building bespoke solutions in high-growth high-complexity network environments
• Strong experience with Linux operating systems

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

California Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of California if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

California Salary Range: $170,000 - $230,000 (80/20 split)

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

California Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of California if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

California Salary Range: $170,000 - $230,000 (80/20 split)

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is looking for an experienced Director of Partner Programs to strategically architect,  implement, and manage a global partner program driving the company’s success while supporting multiple partner types. This person should have extensive experience leading program strategy, building and managing teams in a high growth SaaS environment.  This individual will use a data driven approach while incorporating partner feedback and internal feedback to continuously optimize the Okta Partner.  

Job Responsibilities & Duties:

• Design, implement, and manage a robust and competitive Partner Program structure that effectively supports and incentivizes multiple partner types (e.g., Distributors, GSIs, Resellers, Service Delivery Partners, System Integrators and Technology Partners) and supports Cloud Marketplaces.
• Lead the design and execution of partner programs across AMER, EMEA, and APJ regions.
• Serve as the strategic leader and primary point of contact for the global Partner team, driving initiatives for the continued evolution and success of the Okta Partner Program.
• Develop and drive the long-term partner program strategy, requirements, and policy across the entire partner lifecycle, from recruitment to performance management.
• Direct and mentor the Partner Program team, focusing on organizational design to support growth, scale, and effective prioritization aligned with long-term program goals.
• Define and govern the framework for partner tiering, benefits, incentives, and requirements to ensure program value and growth.
• Collaborate with Partner Experience and Ops team to integrate AI and automation to create a self-service environment for partners, reducing time-to-value (Operational Excellence).
• Lead cross-functional engagements with internal stakeholders (Sales, Marketing, Legal, Finance, Product, Operations, and Systems ) to resolve complex business issues, define long-term program strategy, identify optimization opportunities and set policy for partner engagement. This role will serve as the central link between the partner organization and these teams, and requires the ability to effectively influence and build consensus with cross-functional leadership.
• Provide clear, concise, and compelling communication to executive leadership on program strategy, performance, and risks, ensuring transparency and timely decision-making.
• Monitor and report on global Partner Program performance, ensuring accountability for annual performance reviews and program effectiveness. This includes building global dashboards to act as a "Single Source of Truth" for partner performance (Data Leadership).
• Oversee and provide requirements for the successful integration of program features into partner tools (PRM, CMS, etc.) in collaboration with Partner Operations.

Required Skills & Qualifications:

• Minimum 10+ years of progressive work experience in a high-growth SaaS company (Cybersecurity preferred), with at least 3 years in a leadership role focused on Partner Program Strategy and Management across multiple geographies.
• A proven track record of scaling partner programs during massive growth phases.
• Strong experience in designing, launching, and managing successful global partner programs that support diverse partner ecosystems (e.g., Distributors, GSIs, Resellers, MSPs, Service Delivery Partners, System Integrators, and Technology Partners.
• Proven expertise in leveraging major Cloud Marketplaces (e.g., AWS, Azure, GCP) as a scalable route-to-market and growth engine.
• Highly organized, detailed oriented and capable of managing and prioritizing multiple complex, simultaneous projects.
• Expertise in partner legal frameworks and executing adoption-focused strategies within the partner ecosystem.
• Outstanding verbal and written communication skills with proven project management proficiency. 
• Highly motivated self-starter and excellent problem solver via collaboration.
• Demonstrated experience working cross-functionally across organizations.
• Exceptional integrity, business acumen and sound judgement.
• Highly collaborative and committed to incorporating diverse perspectives and feedback into strategy and execution.
• Comfortable with travel up to 10%.
• BA/BS degree required; MBA or relevant Masters degree strongly preferred.

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams