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

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Software Validation Engineer, Energy Storage 

The Redwood Vision: Architecting the Future of the Grid 

We are at the precipice of a global energy transition. At Redwood Materials, we are moving beyond battery recycling to build the most advanced, circular energy ecosystem on the planet. Our goal is to shift the industry from static, hardware-heavy infrastructure toward agile, software-defined energy assets. The Software Validation team ensures that these complex systems are safe, resilient, and ready for grid-scale deployment. 

As a Software Validation Engineer, you are the bridge between pure code and physical reality. You will design and maintain the environments—Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL)—that allow us to stress-test our power electronics and site controllers. Your mission is to build the automated frameworks that catch edge cases before they hit the field, ensuring every product we ship meets the highest standards of reliability. 

Key Responsibilities 

• Validation Environment Design: Architect and scale our SIL and HIL environments (using platforms like Typhoon HIL, Opal-RT, or similar) to provide high-fidelity simulations of battery assets and grid conditions
• Test Automation Frameworks: Lead the development of automated test suites in Python. You will transition our validation processes from manual intervention to a fully automated, scalable framework
• V&V Strategy: Define and execute comprehensive Verification and Validation (V&V) plans, ensuring all software requirements for the site controller and embedded power electronics are met under normal and fault conditions
• CI/CD Integration: Integrate automated HIL/SIL testing into our CI/CD pipelines, providing real-time feedback to the development teams and serving as the final gate for production-ready code
• Hardware-in-the-Loop Interfacing: Design custom interface hardware and wiring for HIL benches, bridging physical I/O from our controllers to simulated power stages
• Root Cause Analysis: Work closely with the firmware and systems teams to debug complex failures found during validation, using logic analyzers, oscilloscopes, and telemetry logs to pinpoint issues

Qualifications 

• Background: A BS or MS in Electrical Engineering, Computer Engineering, or a related field, combined with 2+ years of professional experience in software validation or test automation for hardware-focused systems
• HIL/SIL Mastery: Proven experience with real-time simulation platforms (Typhoon HIL, Opal-RT, or dSPACE) and a deep understanding of how to model power electronics components in a virtual environment
• Automation Toolchain: Expert proficiency in Python (specifically for test automation frameworks like Pytest) and familiarity with Rust and C/C++ to navigate embedded codebases
• Hardware Literacy: Comfortable in a high-voltage lab environment. You should be proficient with standard lab equipment (oscilloscopes, power supplies, electronic loads) and digital protocols like CAN, SPI, and Ethernet
• Systematic Thinking: A dedicated mindset for "breaking" software. You have a track record of finding critical edge cases in complex state machines and control loops
• Infrastructure: Experience with Git, Jenkins/GitHub Actions, and containerization tools like Docker for managing consistent test environments

The FP&A team at Oura plays an important part in delivering our company mission. We are a highly visible function responsible for delivering mission-critical analytics and insights to leadership and key stakeholders. To further our impact, we are looking for a Manager to join our Operations FP&A team. This role will report to the Senior Manager of Operations FP&A and will partner across Supply Chain and Data functions. 

As the Finance Manager of Operations Excellence, you will be the primary architect of our financial transformation initiatives and implementations of new financial frameworks and tool. This is a high-impact leadership role designed to bridge the foundational gap between our current operational state and our vision of a world-class, AI-forward supply chain finance function. You will lead high-stakes project management across process engineering and systems transformation, focusing on the maturation of our supply chain finance capabilities. You will have the mandate to redesign processes spanning data ingestion, insight democratization, and financial planning to support the rapid scale and complexity of our hardware operations. You will leverage your experience building and managing supply chain finance functions as well as your close partnership with the core team that supports existing planning and analysis, to ensure our transformational agenda sustainably supports the long term requirements of the business.

What You will do

• Partner closely with executive leadership; including the Chief Financial Officer and Chief Supply Chain Officer, and other senior stakeholders, to drive planning and analytics strategy within the supply chain
• Own the development and execution of the team’s Maturity Scorecard, moving the function toward best-in-class standards in data integrity, process automation, and decision support 
• Lead oversight of the design and implementation of the FP&A Operations suite of EPM modules, ensure the system architecture meets future scalability needs
• Architect the team’s AI strategy, documenting high-value use cases for diagnosis and addressing cost drivers; Collaborate with the Data team to prioritize the implementation of AI-driven dashboards and predictive forecasting tools to improve team speed and efficiency
• Own the transition from process design to MVP creation for transformational initiatives and new financial frameworks, collaborating with FP&A SMEs to operationalize new frameworks into the daily cadence of the business
• Serve as a key advisor to Finance and Supply Chain leadership, providing detailed financial analysis for cost-saving initiatives and complex business cases
• Act as a technical mentor to the broader finance team, elevating organizational capabilities in systems thinking, AI application, and process design

Requirements

We would love to have You on our team, if You have:

• 8+ years of FP&A experience
• 5+ years building and/or operating a supply chain finance function, including budget responsibility 
• Experience managing capital investments related to plants, machinery, and other supply chain infrastructure
• Hands-on experience implementing or operating modern EPM platforms (e.g., Pigment, Anaplan, etc)
• Experience leveraging AI and automation tools to automate financial workflows and improve data quality is preferred 
• Financial experience including general knowledge of US GAAP, full P&L familiarity, and a deep understanding of hardware cost structures, including standard vs. actual cost accounting, inventory management, and manufacturing price variance (PPV)
• Experience influencing executive level decision-makers and ability to articulate complex financial and operational concepts to non-finance stakeholders
• Strong proficiency in Excel/Google Sheets, experience working with data visualization tools (eg. Tableau) preferred
• Strong proficiency working in ERP systems (Netsuite preferred)
• Bachelor’s degree in Finance, Accounting, Supply Chain, or a related field; Advanced degree (MBA) or professional certification is highly desirable
• Desire to succeed in an innovative and entrepreneurial environment: intellectual curiosity, proactive self-starter attitude, and high integrity

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $143,000 - $169,000
• Region 2 $130,050 - $153,000
• Region 3 $117,300 - $138,000

A recruiter can determine your Region based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).

This is a hybrid role based out of our San Francisco office with the expectation to be onsite 3 days per week.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Senior Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 4+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.

And Ideally:

• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first. If you can process data at scale, we can teach you the security domain.

#LI-LP1

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

Tenstorrent is looking  for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products. 

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting

Who you are

• An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
• You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
• You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.

What we need

• A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
• A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
• A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
• A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.

What you will learn

• How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
• Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
• How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
• How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
• Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

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 war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

ABOUT THE ROLE

Anduril is seeking a Firmware Engineer to join our team based in Irvine, CA. The Sentry Firmware team at Anduril develops core technology used for our Sentry Tower product line. We work in close coordination with Electrical Engineering to develop hardware and software solutions to some of the hardest problems facing our customers. You'll contribute low level firmware development for systems operating on land, sea, and air.

WHAT YOU'LL DO

• Develop low-level firmware/software for microcontrollers, create reusable device drivers, integrate system-level features and architect changes to support an ever-growing codebase
• Take full ownership of design, implementation and completion of embedded firmware projects
• Mentor other firmware engineers and help teach best practices in design engineering
• Contribute to team direction, policy and guidance
• Quickly debug and troubleshoot issues that span the electrical, firmware, and software boundaries
• Help select microcontrollers and peripherals and review schematics with electrical engineering team
• Concurrently manage involvement in multiple projects at various stages

REQUIRED QUALIFICATIONS

• BS or MS in CS/CE/EE or equivalent industry experience
• Experience: 5+ years of experience in firmware/embedded software development, with a focus on embedded systems.
• Expert level C coding ability for embedded systems
• Demonstrated success creating complex MCU projects that communicate between multiple boards or systems
• Broad experience with one or more microcontroller cores (ARM, AVR, MSP430, PIC, etc.)
• Experience integrating microcontrollers with analog and digital sensors
• Experience developing firmware in bare-metal and/or RTOS environments
• Debugging skills with JTAG, SWD, Oscilloscopes, and Logic analyzers
• Solid understanding and application of coding best practices, board bring up and debugging
• Extensive experience with common bus protocols such as USB, SPI, I2C, CAN, RS232, RS485, Ethernet, etc.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MCUs (STM32). Communication protocol experience (CAN and Ethernet)
• Have a bias for action. If you see a problem, you want to solve and fix it
• Be naturally curious about the technologies and tools you use

ABOUT THE ROLE

Anduril is seeking a Firmware Engineer to join our team based in Irvine, CA. The Sentry Firmware team at Anduril develops core technology used for our Sentry Tower product line. We work in close coordination with Electrical Engineering to develop hardware and software solutions to some of the hardest problems facing our customers. You'll contribute low level firmware development for systems operating on land, sea, and air.

WHAT YOU'LL DO

• Develop low-level firmware/software for microcontrollers, create reusable device drivers, integrate system-level features and architect changes to support an ever-growing codebase
• Take full ownership of design, implementation and completion of embedded firmware projects
• Mentor other firmware engineers and help teach best practices in design engineering
• Contribute to team direction, policy and guidance
• Quickly debug and troubleshoot issues that span the electrical, firmware, and software boundaries
• Help select microcontrollers and peripherals and review schematics with electrical engineering team
• Concurrently manage involvement in multiple projects at various stages

REQUIRED QUALIFICATIONS

• BS or MS in CS/CE/EE or equivalent industry experience
• Experience: 5+ years of experience in firmware/embedded software development, with a focus on embedded systems.
• Expert level C coding ability for embedded systems
• Demonstrated success creating complex MCU projects that communicate between multiple boards or systems
• Broad experience with one or more microcontroller cores (ARM, AVR, MSP430, PIC, etc.)
• Experience integrating microcontrollers with analog and digital sensors
• Experience developing firmware in bare-metal and/or RTOS environments
• Debugging skills with JTAG, SWD, Oscilloscopes, and Logic analyzers
• Solid understanding and application of coding best practices, board bring up and debugging
• Extensive experience with common bus protocols such as USB, SPI, I2C, CAN, RS232, RS485, Ethernet, etc.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MCUs (STM32). Communication protocol experience (CAN and Ethernet)
• Have a bias for action. If you see a problem, you want to solve and fix it
• Be naturally curious about the technologies and tools you use

ABOUT THE ROLE

Anduril is seeking a Firmware Engineer to join our team based in Irvine, CA. The Sentry Firmware team at Anduril develops core technology used for our Sentry Tower product line. We work in close coordination with Electrical Engineering to develop hardware and software solutions to some of the hardest problems facing our customers. You'll contribute low level firmware development for systems operating on land, sea, and air.

WHAT YOU'LL DO

• Develop low-level firmware/software for microcontrollers, create reusable device drivers, integrate system-level features and architect changes to support an ever-growing codebase
• Take full ownership of design, implementation and completion of embedded firmware projects
• Mentor other firmware engineers and help teach best practices in design engineering
• Contribute to team direction, policy and guidance
• Quickly debug and troubleshoot issues that span the electrical, firmware, and software boundaries
• Help select microcontrollers and peripherals and review schematics with electrical engineering team
• Concurrently manage involvement in multiple projects at various stages

REQUIRED QUALIFICATIONS

• BS or MS in CS/CE/EE or equivalent industry experience
• Experience: 10+ years of experience in firmware/embedded software development, with a focus on embedded systems.
• Expert level C coding ability for embedded systems
• Demonstrated success creating complex MCU projects that communicate between multiple boards or systems
• Broad experience with one or more microcontroller cores (ARM, AVR, MSP430, PIC, etc.)
• Experience integrating microcontrollers with analog and digital sensors
• Experience developing firmware in bare-metal and/or RTOS environments
• Debugging skills with JTAG, SWD, Oscilloscopes, and Logic analyzers
• Solid understanding and application of coding best practices, board bring up and debugging
• Extensive experience with common bus protocols such as USB, SPI, I2C, CAN, RS232, RS485, Ethernet, etc.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MCUs (STM32). Communication protocol experience (CAN and Ethernet)
• Have a bias for action. If you see a problem, you want to solve and fix it
• Be naturally curious about the technologies and tools you use

ABOUT THE ROLE

Anduril is seeking a Firmware Engineer to join our team based in Irvine, CA. The Sentry Firmware team at Anduril develops core technology used for our Sentry Tower product line. We work in close coordination with Electrical Engineering to develop hardware and software solutions to some of the hardest problems facing our customers. You'll contribute low level firmware development for systems operating on land, sea, and air.

WHAT YOU'LL DO

• Develop low-level firmware/software for microcontrollers, create reusable device drivers, integrate system-level features and architect changes to support an ever-growing codebase
• Take full ownership of design, implementation and completion of embedded firmware projects
• Mentor other firmware engineers and help teach best practices in design engineering
• Contribute to team direction, policy and guidance
• Quickly debug and troubleshoot issues that span the electrical, firmware, and software boundaries
• Help select microcontrollers and peripherals and review schematics with electrical engineering team
• Concurrently manage involvement in multiple projects at various stages

REQUIRED QUALIFICATIONS

• BS or MS in CS/CE/EE or equivalent industry experience
• Experience: 10+ years of experience in firmware/embedded software development, with a focus on embedded systems.
• Expert level C coding ability for embedded systems
• Demonstrated success creating complex MCU projects that communicate between multiple boards or systems
• Broad experience with one or more microcontroller cores (ARM, AVR, MSP430, PIC, etc.)
• Experience integrating microcontrollers with analog and digital sensors
• Experience developing firmware in bare-metal and/or RTOS environments
• Debugging skills with JTAG, SWD, Oscilloscopes, and Logic analyzers
• Solid understanding and application of coding best practices, board bring up and debugging
• Extensive experience with common bus protocols such as USB, SPI, I2C, CAN, RS232, RS485, Ethernet, etc.
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• MCUs (STM32). Communication protocol experience (CAN and Ethernet)
• Have a bias for action. If you see a problem, you want to solve and fix it
• Be naturally curious about the technologies and tools you use

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

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

Role 

We are looking for a Staff Site Reliability Engineer to join our Cloud Infrastructure & Operations team in our San Jose, CA HQ Office. This is a hybrid role reporting to the Chief Architect, REIS. You are an SRE with proven experience in Linux/UNIX System Administration and hands-on expertise in building infrastructure and managing platforms like Kubernetes using automation tools and high security standards. In this role, you will troubleshoot complex Linux networking and security issues, apply a strong understanding of firewall technologies, and manage access across various systems, platforms, and applications.

What you’ll do (Role Expectations)

• Create and maintain highly scalable solutions based on KVM Linux, Kubernetes, and Public Cloud Providers
• Analyze and troubleshoot systems performance and complex issues across operating systems and applications
• Maintain platform security and observability through nftables and comprehensive monitoring
• Manage and deploy systems and software in diverse environments, including Kubernetes and Openstack
• Write and maintain custom tools using Python, Golang, and BASH

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing a dynamic environment as the raw material to build something meaningful.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions that deliver the biggest impact.
• You operate with urgency and maintain a relentless focus on execution, understanding that speed and quality are not mutually exclusive in a high-growth environment.
• You are driven by innovation and a deep curiosity for how things work, always looking for a better, more secure, and scalable way to accelerate transformation.
• You lead with integrity and hold yourself to a high standard of accountability, building trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Strong understanding of web security, protocols, and SSH
• Technical security aptitude including PGP, SSH, PKI, and Multi-factor authentication
• Mastery of network fundamentals including DHCP, ARP, subnetting, routing, NAT, firewalls, and IPv4/IPv6
• Experience in container orchestration services including Docker and Kubernetes, alongside automation tools like Ansible
• 5+ years of experience in a Linux/UNIX System Administration or SysAdmin role

What Will Make You Stand Out (Preferred Qualifications)

• Strong Openstack and CEPH experience paired with advanced Kubernetes expertise
• Extensive professional history in dedicated Linux System Administration roles
• Direct experience with Secrets Management Systems such as Hashicorp Vault or similar technologies

#LI-Hybrid 

#LI-CM3

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

Principal Thermal Protection System Engineer 

Location: Playa Vista, California (in-person, five days per week) 

Launch has changed the economics of space. Now it is time to return. 

Outpost is building the missing infrastructure between orbit and Earth: reusable vehicles that can bring payloads back from space and deliver them to a precise location within hours. We call it exologistics, space-to-Earth logistics at planetary scale. This is not a paper concept or a distant roadmap. Our system is in active development, with core technologies advancing toward flight readiness. 

The need is already here and the market has responded. We have validated demand through multiple defense and civil agreements, and a growing pipeline across government and commercial customers.  

Outpost is building the logistics layer that makes space economically useful in a new way: the ability to move material from orbit to Earth quickly, reliably, and affordably. Over time, that supports point-to-point logistics, 10 tons of cargo, anywhere on Earth in an hour. It also creates the foundation for a reusable reentry network and enables new categories of space activity, including in-space manufacturing, supporting AI data centers, advanced manufacturing and novel materials. 

We have a strong foundation, clear demand, and a technical path in front of us. Now the company is scaling rapidly. We are expanding the team, growing our operational footprint, and building the systems needed to execute at the next level. This is a chance to join a company with real traction, working on a problem that matters, at the point where execution and scale begin to define the outcome.

The Role 

The Principal Thermal Protection System Engineer (TPS) will lead the design, analysis, and implementation of the (TPS) for our Carryall reentry vehicle. This role sits at the intersection of high-temperature materials science, aerothermal analysis, and mechanical design. You will own the primary barrier that allows our vehicles to survive the extreme environments of reentry, turning the "impossible" physics of returning from orbit into a repeatable, reusable operation. 

You will work closely with engineering leadership and the mechanical engineering team, to architect a TPS that is robust enough to handle hypersonic heat fluxes and flexible enough to stow and deploy on orbit. This is a hands-on technical leadership role for someone who is ready to take ownership of a flight-critical subsystem from design through to flight qualification. 

Responsibilities 

• Lead TPS Architecture: Define the TPS architecture and thermal protection strategy for the Carryall vehicle, selecting materials and material stack-ups that balance thermal performance, mass, and mechanical flexibility.
• Aerothermal Analysis: Perform and guide high-fidelity aeroheating analysis (CFD) and thermal response modeling to validate specifications and predict performance under reentry loads.
• Material Qualification: Lead the testing and characterization of flexible and rigid TPS materials, including arc-jet testing, radiant heat testing, and mechanical load testing.
• Design for Manufacturability: Oversee the transition from theoretical design to flight hardware, managing vendor relationships for TPS materials including fabrics, thermal barriers, and adhesives.
• Validation & Verification: Develop and support the verification plan for the TPS subsystem, ensuring all requirements are met prior to flight.
• Technical Leadership: Mentor junior engineers and contribute to the technical roadmap for future scaled up re-entry vehicle generations 

Qualifications 

• Bachelor's degree or higher in Aerospace, Mechanical, or Materials Engineering (or related field).
• 10+ years of experience in the development of thermal protection systems, hypersonic aerodynamics, or high-temperature structural materials.
• Deep understanding of heat transfer mechanisms (convection, radiation, conduction) specifically during atmospheric entry.
• Simulation expertise: Proficiency with thermal and ablation modeling tools (e.g., FIAT, CMA, Thermal Desktop, or custom solvers) and analysis software (ANSYS, MATLAB/Python).
• Hands-on experience with hardware testing, specifically environmental or arc-jet testing of TPS materials.
• Proven ability to manage complex trade studies involving mass, volume, and thermal performance.
• Strong written and verbal communication skills to articulate complex thermal risks to the broader engineering team.
• Comfortable working in a fast-paced startup environment where requirements may evolve and urgency is key. 

Preferred Experience 

• Active U.S. Government Security Clearance (Not required, but beneficial)
• Experience with Deployable Aerodynamic Decelerators (HIAD/ADEPT) or flexible thermal protection systems for reentry at extreme thermal heat. 
• Direct experience with hypersonic vehicle flight hardware from concept to post-flight analysis.
• Familiarity with government or commercial spaceflight standards (NASA/DoD) for thermal protection.
• Experience in a "Design, Build, Fly" environment with rapid iteration cycles. 

Compensation & Benefits 

• Competitive compensation: $160,000 - $210,000; (commensurate with experience). 
• Additional Compensation:  Annual performance-based bonuses that reward your impact.
• Shared upside: Meaningful equity in Outpost so you share directly in the value you help create.
• Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. 
  
• Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security.
• PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays.
• Invest in your future: 401(k) with company match to help you build long-term wealth.
• Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized.
• Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure.
• Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too.
• Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! 

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.

As the Workplace Experience Manager for Everlaw’s Oakland headquarters, you will be the primary architect of our office environment, ensuring it remains a vibrant, inclusive, and high-functioning space for our team. You will lead day-to-day workplace operations for our Oakland office, managing everything from vendor relationships and ongoing workplace experience programming to large-scale internal events that foster engagement and belonging. This role requires a unique blend of operational excellence, hospitality-driven leadership, event planning expertise, and a passion for building a culture where every Everlawyer can do their best work.

You will sit within the People Team and collaborate closely with IT, Finance, Facilities and People Programs to ensure our workplace programs seamlessly support our hybrid work model and company growth.

At Everlaw, our mission is to promote justice by illuminating the truth. Our company culture is open and vibrant, and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! Think you’re missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and encourage you to apply if you feel you can bring value to our team. Learn more about Life at Everlaw.

This is a full-time, exempt position that will require being in-office Monday through Friday in our Oakland, CA headquarters.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

In your role, you'll...

• Manage the day-to-day operations of our Oakland headquarters to ensure a high-quality, inclusive, and productive environment for all employees and visitors.
  • Partner with our Facilities team on office design and operations to deliver a seamless, inclusive workplace experience that reflects employee needs, including thoughtful workspace layout, meeting spaces, and accessible, welcoming environments that address employee inclusion needs.
  • Partner with our Food & Beverage team to understand employee needs and preferences, shaping inclusive food programs and creative, culture-building initiatives (think Ramen day or MasterChef challenges) that enhance engagement and the overall workplace experience.
• Lead the planning and execution of internal org-wide Workplace events that foster inclusion and engagement, working in partnership with the satellite offices and the Facilities and Culinary teams. Events include things like our annual summer picnic, holiday party and ERG programming support. 
• Manage the workplace budget for the Oakland office, tracking expenses and identifying opportunities for operational improvements or cost savings.
• Identify employee needs and serve as the voice of the employee by using qualitative and quantitative feedback to define, evolve, and execute our Workplace Experience strategy, including survey analysis and documenting and escalating feedback across stakeholders.

About you

• You have at least 5 years of experience in workplace operations, facilities management, or corporate hospitality, preferably within a high-growth tech environment.
• You have experience managing vendor relationships and negotiating contracts to ensure high-quality service delivery.
• You have a proven track record of event planning and deep passion for executing creative, inclusive events that build community and foster a sense of belonging.
• You are an exceptional communicator who can build strong relationships with stakeholders at all levels of the organization.
• You are a proactive problem-solver with a "no task is too small" mentality and the ability to manage multiple competing priorities simultaneously.
• You are detail-oriented and organized, with experience managing budgets and operational workflows.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• The expected salary range for this role is between $142,000 - $165,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The role's compensation is subject to change in the future.
• Equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision
• Flexible Spending Accounts for health and dependent care expenses
• Paid parental leave and approximately 10 days (80 hours) per year of sick leave
• Seventeen paid vacation days plus 11 federal holidays
• Membership to Modern Health to help employees prioritize mental health and wellness
• Annual allocation for Learning & Development opportunities and applicable professional membership dues
• Company-sponsored life and disability insurance
• Find out more about our Benefits and Perks

Perks

• Work in Uptown Oakland, just steps from the BART line and walking distance to Lake Merritt
• Monthly home internet reimbursement
• Select your preference of hardware (Mac or PC) and customize your desk setup
• Lunch provided in-office daily in addition to a wide variety of snacks and beverages in the office
• Allocated funds for departmental team building activities and company-wide out-of-the-box events 
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Take advantage of learning and career development opportunities 
• Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
• One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
• One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
• #LI-KV1
• #LI-Hybrid

ABOUT THE TEAM: Air Dominance & Strike

The Air Dominance and Strike Division is at the bleeding edge of modern warfare, pushing the boundaries of what's possible in autonomous combat. This is where audacious vision meets relentless execution: we design, develop, and deploy the next generation of collaborative combat aircraft, precision strike systems, and the intricate, AI-driven software that orchestrates their autonomous operations. This division is a crucible for innovation, tackling the most complex engineering challenges at the intersection of aerospace, robotics, and artificial intelligence, directly impacting global security.

We are actively searching for a Sr. Technical Program Manager – a true technical leader and strategic orchestrator – to command one of our most critical development programs. This is a rare opportunity to own the end-to-end lifecycle of groundbreaking software-defined autonomous systems, from disruptive R&D and rapid prototyping through rigorous testing, contract capture, and operational deployment. Collaborating directly with our Chief Engineers, you will be singularly responsible for program cost, schedule, technical performance, and risk mitigation, ensuring our autonomous airpower solutions set an unrivaled global standard.

ABOUT THE ROLE: Leading the Autonomous Frontier

This pivotal leadership role demands a rare blend of technical mastery, strategic foresight, and relentless execution. Success hinges on your ability to dominate across four critical dimensions:

1. Deep Technical Acumen & Systems Architect: Possess an exceptional understanding of complex software-defined hardware systems, advanced autonomy, AI/ML architectures, and embedded systems. You will not just manage technical efforts; you will critically assess design choices, identify intricate system interdependencies, manage interface risks, and drive foundational architectural decisions in concert with engineering leadership. Your ability to translate cutting-edge technical challenges into actionable program strategies is paramount.
2. Uncompromising Execution & Ownership: This role demands more than oversight; it demands an owner. You will dive deep into technical details, proactively chart the strategic path, anticipate and preempt obstacles, and relentlessly drive initiatives to successful, on-time, and on-budget completion. Leverage your elite technical aptitude, strategic program management prowess, and inspirational leadership to deliver transformative capabilities that exceed customer expectations.
3. Masterful Cross-Functional Orchestration: You will be the central nexus, orchestrating highly complex efforts across diverse and elite engineering disciplines (software, hardware, GNC, test), advanced manufacturing, supply chain, and quality assurance. Your ability to forge consensus, resolve high-stakes conflicts, and champion program priorities across a rapidly scaling, high-performance organization is non-negotiable.
4. Strategic Customer & Stakeholder Partnership: You will serve as a primary, high-trust interface with critical government customers and senior leadership. Beyond managing expectations, you will actively shape future program requirements, drive strategic discussions, and champion Anduril’s innovative vision. Your capacity to articulate complex technical roadmaps and program advancements with crystal clarity and conviction will be key to expanding our mission footprint.

WHAT YOU'LL DO: Command and Conquer

• Architect & Command Program Trajectory: Lead, define, and relentlessly drive the full lifecycle for advanced autonomous airpower systems, with a significant emphasis on software-defined capabilities – from nascent R&D and rapid prototyping to full-scale development, rigorous integration, and strategic deployment.
• Strategic Software Roadmap & Trade-off Authority: Own and aggressively optimize the strategic software roadmap, making high-impact, data-driven trade-off decisions that expertly balance aggressive development timelines, unparalleled technical excellence, and critical customer requirements.
• Fiscal & Resource Mastermind: Proactively manage and report with precision on all elements of program cost, schedule, and resource allocation (human capital, advanced materials, capital investments). Implement decisive corrective actions and optimize resource deployment to meet and exceed aggressive program financial and delivery targets.
• Pioneer Operational Excellence: Design, champion, and operationalize innovative, high-velocity program management methodologies, tools, and metrics specifically engineered for rapid, iterative software development within the unique context of defense acquisition.
• Aggressive Risk Mitigation: Proactively identify, rigorously assess, and aggressively mitigate technical, programmatic, and operational risks, with particular emphasis on complex software integration, system safety, and autonomous performance in contested environments. Develop robust, anticipatory contingency plans.
• Executive & Customer Statesmanship: Prepare and deliver compelling, high-fidelity strategic updates, critical recommendations, and deeply technical insights to Anduril's Executive Leadership, Board of Directors, and key government stakeholders. Your communication will be decisive and impactful.
• Technical Visionary & Trusted Advisor: Serve as the critical bridge between world-class engineering teams and senior leadership, translating complex software and system architectures into clear, actionable strategic insights. Become the indispensable technical and strategic advisor to Anduril’s engineers and executives.
• Build Elite Teams: Cultivate an uncompromisingly high-performing, innovative, and collaborative engineering culture within your program. Proactively assess team capabilities against future needs, identify critical talent gaps, and drive recruitment initiatives to continuously elevate team strengths.

REQUIRED QUALIFICATIONS:

• Active U.S. Top Secret security clearance or the eligibility to obtain and maintain one.
• Bachelor’s degree in Engineering, Computer Science, or a closely related technical discipline. An advanced degree (Master's, PhD) or equivalent exceptional technical leadership experience is highly preferred.
• Minimum of 10 years of progressive, demonstrably impactful experience managing the development and delivery of highly complex technical systems across their full lifecycle, with at least 5 years in a Senior Technical Program Manager or equivalent strategic leadership capacity.
• Proven, unparalleled track record managing large-scale, mission-critical software development programs for safety-critical autonomous vehicles, complex aerospace platforms, or high-stakes defense systems. Your history must demonstrate consistent delivery of sophisticated software on time and within budget in highly demanding, ambiguous environments.
• Exceptional strategic thinking, analytical rigor, and complex problem-solving abilities, coupled with the agility to seamlessly oscillate between granular technical detail and overarching strategic vision (30,000 ft view).
• Demonstrated ability to inspire, coordinate, and lead multiple internal and external, cross-functional teams within a fast-paced, high-intensity engineering or technology-focused organization.
• Outstanding written and verbal communication skills, with the ability to articulate profoundly complex technical information and program status with unparalleled clarity, conciseness, and persuasive force to both deeply technical and executive-level audiences.
• Deep, practical experience with defense acquisition processes, government contracting, and managing high-stakes customer relationships in the national security domain.

WHY YOU SHOULD JOIN US: The Mission Demands You

• Unrivaled Impact: This is not just a job; it’s a mission. Your work will directly shape the future of national security, delivering capabilities that protect and empower warfighters on a global scale.
• Pioneer the Future: Work at the forefront of AI, autonomy, and advanced software, solving previously intractable problems alongside the brightest minds in the industry.
• Accelerated Career Trajectory: Thrive in an environment that values aggressive ownership, rewards merit, and offers unparalleled opportunities for rapid growth and influence.
• Empowered Autonomy: Operate with significant trust and autonomy in a culture that prioritizes rapid iteration, technical excellence, and impactful delivery over bureaucracy.
• Elite Colleagues: Collaborate with a team of exceptionally talented, driven, and mission-focused engineers, scientists, and leaders who are redefining an entire industry.
• Meaningful Purpose: Every line of code, every decision, and every program milestone directly contributes to safeguarding national interests and global stability. If you are driven by purpose and possess the strategic technical leadership to deliver, your place is with Anduril.

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

About the Role

Verkada is entering a transformative phase of growth in the public sector. To accelerate this momentum in 2026 and beyond, we are seeking a strategic, high-impact Director of Public Sector Business Development. This is a foundational hire responsible for building an integrated public sector business development function that aligns sales strategy and business development across both federal and state public sectors.

You will be the architect of Verkada’s touchpoints with key government stakeholders, ensuring that our cloud-based physical security solutions—from AI-powered cameras to integrated access control—are the standard for modern government infrastructure.

What You'll Do

Strategic Leadership & Revenue Acceleration

• Develop the Playbook: Create and execute a comprehensive government sales strategy initially focused on U.S. Federal and SLED markets, with expansion into international territories as Verkada scales.
• Bridge Policy & Sales: Partner directly with the Public Sector Sales organization to unlock procurement pathways, navigate agency-specific requirements, and support account-level strategy.
• Thought Leadership: Position Verkada as the leading provider in physical security modernization, educating policymakers on the benefits of cloud-native safety technology.

External Partner & Association Management

• Partner Engagement: Identify, hire, manage partners, procurement-focused partners, lobbyists, consultants, and advisors to deliver high ROI by navigating complex contracting vehicles for priority targets like the VA, DoW, and major school systems (e.g., NYC Public Schools).
• High-ROI Engagement: Curate Verkada’s presence in elite organizations such as NASCIO, NASTD, Major Cities Chiefs Association, and the National Governors Association.

Relationship-Building, Strategy & Compliance

• Build relationships with key government stakeholders and technology leaders to advocate for funding (e.g., school safety grants) and appropriations that favor the adoption of modernized cloud-based physical security platforms.
• Partner with legal, government affairs, and policy functions to monitor the evolving legislative and appropriations landscape relating to issues that impact Verkada’s platform and product roadmap, including but not limited to physical security and cybersecurity mandates, AI governance, data privacy (CCPA/GDPR), data security programs (such as FedRAMP and similar state programs), and (NDAA/FedRAMP) that impact our product roadmap.
• Partner with Legal to ensure all activities meet the highest standards of ethics and disclosure requirements.

What You Bring

• Experience: 10+ years in public sector sales, government funding, appropriations, and procurement, and/or public sector business development.
• Industry Background: Must come from a technology (SaaS/Cloud/Hardware) or a highly regulated industry (e.g., Aerospace, Defense, Telecom, or FinTech).
• Procurement Expertise: Deep understanding of the "mechanics" of government buying—you know how to influence a specification before the RFP is released.
• Travel Readiness: Willingness to travel 50% of the time to engage with stakeholders in Washington D.C., state capitals, and international markets.
  • This role requires regular travel, estimated to be more than 50% of the time, including both domestic and international destinations as needed. The successful candidate must be comfortable with frequent travel to support business operations, customer and partner engagements and team collaboration. 
• The "Builder" Mindset: You are comfortable starting with a blank slate and flying “solo” without a team under you for support, and regularly “rolling up your sleeves” to get the work done and achieve results.
• Cross-Functional Expert:  Effective development of public sector sales strategy does not happen in a silo; it requires clear and concise communication skills while managing constant cross-functional work across internal and external teams.

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

Additional Information

• You must be independently authorized to work in the U.S. We are unable to sponsor or take over sponsorship of an employment visa for this role, at this time

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.

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

This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. 

About the Role

We are looking for a builder to help lead our ‘AI for Work’ efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit. 

As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You’ll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan. 

You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. 

What You Will Do: 

• Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions. 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks. 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 
• Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit. 
• You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance. 
• Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change. 

Skills Required: 

• Educational Foundation: You hold a Bachelor’s degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines. 
• Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles. 
• GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning. 
• AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts.
• Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise.
• Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders.
• Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments. 
• Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources. 
• Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders. 
• Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs. 
• Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable. 
• Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change. 
• Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact. 
• Continuous Learning: You demonstrate strong intellectual curiosity and a commitment to continuous learning, staying ahead of emerging technologies to ensure long-term organizational readiness.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $192,000 - $250,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

THE ROLE

As a Principal Product Manager at Everpure, you will be the strategic architect behind our next $1BN+ business unit, defining a new category of storage services for hyperscaler clouds. You will bridge high-level strategy with technical execution, providing the North Star for engineering while navigating the complexities of public cloud ecosystems. This is a high-impact leadership role where you will collaborate across GTM, Finance, and Engineering to transform data platform evolution into market-dominating cloud services.

WHAT YOU’LL DO

• Drive Business Unit Excellence: Own the end-to-end health of the public cloud storage-as-a-service business, setting OKRs and growth targets to ensure Everpure captures and exceeds market share in a multi-billion dollar addressable market.
• Architect the Product Roadmap: Translate deep market and competitive analysis into actionable technical requirements, ensuring our cloud-native and hybrid deployments solve evolving customer needs and outpace industry trends.
• Lead Cross-Functional Execution: Act as the “quarterback” between Product, Engineering, and Finance to deliver high-quality services on time, while leading the operational rhythm of business reporting and trend analysis.
• Scale Go-To-Market Strategy: Partner with Sales, Marketing, and ecosystem partners to define use-case-centric models that drive customer adoption, renewal, and expansion across the global install base.
• Evangelize Everpure Technology: Serve as a key spokesperson and technical influencer, delivering compelling narratives to executive leadership, partners, and customers to drive alignment and brand authority.

WHAT YOU BRING

• Strategic Product Leadership: Proven ability to conceive and execute complex infrastructure projects within SaaS or Cloud environments, with a focus on block and file-based storage offerings and cloud marketplace motions.
• Technical & Business Fluency: Deep understanding of AI-driven data management and technologies as well as traditional virtualization & database landscapes, combined with the analytical skills to translate data into business opportunities.
• Influential Communication: Exceptional ability to communicate concisely and persuasively across all levels of an organization, fostering collaboration between technical teams and field-facing sales organizations.
• Growth Mindset: A high bias for action and a history of driving successful field programs, with a relentless focus on improving performance metrics and customer journey outcomes.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara, CA office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE  #LI-BL1

ABOUT THE TEAM:

ArsenalOS is the digital backbone of Anduril’s hardware enterprise. It connects the full lifecycle, from concept to build to field feedback, into one operating environment built for speed, traceability, autonomy, and continuous improvement. That environment includes not just the software used to design, plan, and execute work, but also the factory-facing infrastructure that connects operators, machines, test systems, and OT networks into the same adaptive Build Chain. It is not a support function, but rather a strategic investment by Anduril that the operating system of the hardware lifecycle is how we win. It will be one of the mechanisms by which Anduril out-builds, out-adapts, and out-scales the traditional defense industrial base.

ABOUT THE JOB:

We are looking for a Staff Software Engineer to join our QualityOS team within Forge MES (Manufacturing Execution System). As a Staff Engineer, you will set the technical direction and architectural standards. You'll architect and implement mission-critical distributed systems that scale Anduril's manufacturing operations while maintaining the technical bar for reliability, performance, and maintainability.

Your impact will span beyond the immediate team. You'll serve as a technical bridge between the QualityOS product team and our Platform/Foundations organization, ensuring we build on solid infrastructure while influencing platform capabilities to meet manufacturing needs. You'll represent the quality domain in broader MES architectural decisions, contributing to technical strategy that affects multiple product teams.

We're looking for someone who combines deep technical expertise with strong collaborative instincts—someone who can dive into complex distributed systems, establish patterns that others follow, and drive consensus across engineering teams. You'll balance hands-on technical execution on critical features with raising the technical standards of the team through architecture reviews, code quality, and operational excellence. Your decisions will have lasting impact on how Anduril scales manufacturing quality systems into a next-generation defense company.

WHAT YOU'LL DO

Technical Architecture & Execution:

• Define and drive technical architecture for QualityOS - make decisions on system design, scalability patterns, integration strategies, and platform vs. build tradeoffs that shape team execution
• Architect and implement complex distributed systems - build mission-critical services, APIs, and tooling that enable safe, fast delivery across manufacturing quality workflows
• Lead by example with engineering excellence - establish patterns through hands-on work: comprehensive testing, deployment safety (blue/green/canary), infrastructure as code, observability, and operational rigor

Cross-Team Influence & Collaboration:

• Bridge product and platform teams - collaborate with Platform/Foundations to shape shared infrastructure based on QualityOS needs while driving adoption of platform capabilities
• Partner across MES product teams - integrate QualityOS into cohesive manufacturing experiences, evolve data models across quality/production domains, and drive technical consensus on cross-cutting concerns
• Represent quality domain technically - work with architecture, security, operations, and infrastructure teams to ensure quality requirements influence broader technical decisions

Team & Technical Standards:

• Raise the technical bar for the team - through rigorous code review, architecture discussions, establishing shared ownership models, and improving practices that balance velocity with correctness
• Remove friction and unblock execution - identify systemic technical issues, eliminate single points of failure, and create leverage through automation and improved tooling

REQUIRED QUALIFICATIONS

• 12+ years of experience in a software engineering role building products in fast-paced environments
• Proven ability to influence technical direction across teams - drive architectural consensus, build alignment, and lead technical initiatives beyond a single team
• Experience working with large enterprise applications and platforms with high availability requirements
• Strong full-stack capabilities with expertise in modern web technologies - JavaScript/TypeScript, React, and web frameworks (Next.js, Remix, etc.)
• User-focused engineering mindset - ability to translate user needs into technical solutions while balancing user experience with engineering constraints
• Excellent communication skills, able to influence stakeholders, translate ambiguous requirements and build cross-team alignment.
• U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

• We encourage people from all backgrounds to apply but our tech stack uses AWS, Typescript, and React/Remix so familiarity with all of these tools will be particularly helpful
• Experience in hyper growth startup-like environments. Demonstrated successes in scaling and maturing software development processes, team culture and methods, and ability to balance short-term and long-term trade offs
• Manufacturing/quality domain knowledge - experience with quality management systems (QMS), manufacturing execution systems (MES), or incident management platforms
• Experience in defense, autonomy, robotics, or mission-critical systems (helpful but not required)
• Experience with AI/LLM integration - leveraging state-of-the-art models and agentic tooling in production software development
• Eligible to obtain and maintain a U.S. TS/SCI clearance

As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

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

Director of Campaign Marketing

Location: Remote (CA or NY preferred)

Status: Full-time, Exempt

THE COMPANY:
At PAX Labs, we strive to enhance people’s lives through exceptional cannabis experiences.
Our curated set of pure full-flavor pods and award-winning devices makes enjoying
cannabis simple and safe. For more than a decade, we have created next-generation
devices that deliver enduring quality and wellness benefits through innovations in design
and technology, and remain trusted by millions of consumers nationwide. Our standards
allow for the safest vaporization of cannabis on the market. We are passionate about
increasing well-being and joy through the power of cannabis, and we are committed to
advancing opportunity through supporting social justice, access, and equity in the
industry.
We are incredibly excited about the tremendous growth of the cannabis industry, inspired
every day by how cannabis can change lives, and fortunate for our leading position in the
space. Our culture is focused on putting the consumer first, making an impact together,
and also having fun along the way!

SUMMARY
The Director of Campaign Marketing serves as the primary architect of PAX's go-to-market
campaign strategy — owning the full lifecycle from ideation through execution and
performance analysis. This leader translates brand and business objectives into culturally
resonant, data-driven campaigns that drive awareness, acquisition, and loyalty across
existing and emerging channels. This role reports to the VP of Marketing.

RESPONSIBILITIES

• Lead campaign ideation, planning, and execution for new product launches,
  seasonal releases, limited-time offers, and brand collaborations — ensuring all
  activity is aligned with commercial and partner objectives.
• Develop clear campaign briefs that define business objectives, target audiences,
  messaging hierarchy, and channel requirements
• Maintain a rolling 12-month campaign roadmap that helps the organization plan
  and resource effectively
• Champion big, culturally resonant ideas built for multi-channel extension across
  OOH, social, digital, retail, and experiential in support of e-commerce, wholesale,
  and retail channels
• Own end-to-end execution — coordinating across product, creative, channel,
  media, and legal to deliver on time and on budget
• Manage campaign timelines, budgets, and trafficking across paid, owned, and
  earned channels
• Act as the connective tissue between product, marketing, and commercial teams to
  ensure coherence across all touchpoints
• Conduct post-campaign analysis and translate findings into actionable
  improvements for future cycles
• Lead and develop a team of campaign marketers, fostering accountability, creative
  rigor, and continuous learning
• Leverage and grow a network of agency partners across creative, media, and
  influencer disciplines
• Please note that this job description is not designed to cover or contain a comprehensive
  listing of activities, duties, or responsibilities that are required of the employee for this job.
• Duties, responsibilities, and activities may change at any time with or without notice.

QUALIFICATIONS

•  15+ years of marketing experience with a demonstrated focus on campaign
  strategy and execution, ideally in a fast-moving consumer brand or agency
  Environment
• Proven track record of developing and launching integrated campaigns across
  digital, social, OOH, and retail channels
• Strong creative instincts paired with analytical discipline — comfortable evaluating
  ideas by both cultural resonance and performance potential
• Deep fluency in paid and owned digital channels, including social, programmatic,
  and content
• Experience managing campaign budgets, agency relationships, and cross-functional stakeholders
• New product launch experience required 
• Passion for and curiosity about the cannabis industry
• People leadership experience with a track record of developing direct reports
• Bachelor's degree required; MBA a plus

COMPENSATION

In addition to the benefits above, the salary for this role is $180,000-$200,000, plus the
opportunity to participate in the company equity and bonus programs. This represents
what we believe, in good faith, this role will pay. The final pay will depend on many factors,
including years and depth of experience, level, and location of the employee.

PAX VALUES
Put Consumers First:

• We are here to enhance their lives. We put their needs first in
  everything we do. We work together to deliver unique solutions for their benefit.
  Build a Community 
• We are active and beneficial builders of a global community. We
  collaborate together to support sustainability, well-being, and social equity efforts—both
  internally and externally—to establish cannabis as a force for good.
• Innovate with Passion - We are passionate about enhancing the cannabis experience by
  making it positive, accessible, and intuitive. We set the standards, innovate for consumers, and find the yes as a team.
• Be the Solution and Collaborate - We work as a team to achieve winning outcomes,
  knowing we each individually are the solution, but can only succeed together.
• Lead with Humility and Transparency - We stay open and humble in everything we do.
• We value learning from each other, and cultivate transparency in our culture and
  Products.
• We will ensure that individuals with disabilities are provided reasonable accommodation
  to participate in the job application or interview process, to perform the essential job
  functions, and to receive other benefits and privileges of employment. Please contact us
  to request accommodation.

Who we are

Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.

As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy.

What you will be doing

We are seeking a Quality Manager to establish and lead end-to-end quality systems for a growing suite of air and ground side products throughout the entire product lifecycle. This role requires building quality processes from the ground up in a fast-paced startup environment while ensuring compliance with stringent defense industry standards. The ideal candidate will have extensive experience in high-volume electronics manufacturing quality control and a proven track record of implementing reliability programs for mission-critical systems.

Responsibilities

• Establish comprehensive quality management systems spanning engineering requirements through field deployment for defense electronics products
• Develop supplier quality programs including vendor audits, component certifications, and performance scorecards for mission-critical defense systems
• Implement quality control processes for high-volume electronics manufacturing including incoming inspection, in-process monitoring, and final testing protocols
• Lead reliability engineering initiatives including failure analysis, accelerated life testing, and field performance tracking to ensure mission readiness
• Create quality documentation frameworks to support defense contracting compliance, regulatory audits, and customer qualification requirements
• Drive cross-functional quality improvements across engineering, manufacturing, and supply chain to minimize defects and optimize product reliability
• Architect and build a world class quality team from the ground up

You should have the following

• Bachelor's degree in Engineering or related technical field with 5+ years of quality management experience
• Proven experience implementing quality systems for high-volume electro-mechanical systems.
• Strong background in reliability engineering including failure analysis, MTBF calculations, accelerated life testing, and field data analysis
• Hands-on experience with defense industry standards including MIL-STD specifications, ITAR compliance, and government contracting quality requirements
• Demonstrated expertise in supplier quality management including vendor audits, incoming inspection protocols, and supply chain risk assessment
• Proficiency with quality management tools including statistical process control, Six Sigma methodologies, and quality management software systems
• Experience building quality processes from scratch in startup or high-growth manufacturing environments
• Knowledge of electronics testing methodologies including environmental testing, EMI/EMC compliance, and component-level failure analysis
• Strong project management skills with ability to lead cross-functional teams and drive quality initiatives across engineering and manufacturing

Nice to have

• Experience with AS9100 or ISO 9001 quality management system implementation and auditing
• Background in RF/microwave electronics quality control and testing methodologies
• Previous startup experience in defense technology or dual-use technology companies
• Experience with government customer quality reviews and defense contractor audits

US Salary Range

$150,000 - $225,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package.

We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Partner Marketing Manager, Technology Partnerships

About the Role

As a Partner Marketing Manager for Technology Partnerships, you will be the demand generation architect behind Okta’s most strategic ISV partnerships. You are not just a marketer; you are a business leader responsible for defining how Okta and our leading technology partners win together in the market.

Reporting to the Senior Director of Global Partner Marketing, you will operate with a high degree of autonomy, leading the end-to-end GTM strategy for a portfolio of Tier-1 technology partners. You are responsible for bringing joint innovation to market—including the development and launch of AI integrations with large platform partners—and ensuring these efforts translate into measurable pipeline and revenue impact. You will bridge product and sales, connecting technical integrations to clear customer value and scalable go-to-market execution.

Key Responsibilities

Strategic GTM & Field Activation

• Own the Strategy: Develop and execute the joint marketing strategy for Okta and with key ISV partners including Zscaler, Crowdstrike, Google and more, to drive new leads, increase consumption, and amplify our message in the market.
• GTM Narrative Activation: Partner with Product Marketing to "field-proof" joint messaging. You are responsible for taking high-level technical value propositions and transforming them into actionable, high-conversion marketing assets (e.g., co-branded pitch decks, solution briefs, and sales plays) that resonate with Okta’s global sales force.
• Integrated Campaign Architecture: Lead the design and global rollout of complex multi-partner and multi-channel "Always-On" marketing programs to create unified messaging, value propositions, and joint campaign architecture that captures new market opportunities. You own the strategy for how the joint solution is positioned across webinars, digital demand gen, and major third-party events (e.g., RSAC, Zenith Live, Fal.Con).
• AI Integration Launches: Support the GTM strategy and execution for joint AI integrations with large platform partners, from launch planning through field activation. Ensure these innovations are clearly positioned, enabled for sales, and translated into scalable demand generation and pipeline impact.
• Market Positioning: Act as the subject matter expert (SME) on the competitive landscape of your partner category, ensuring Okta remains the "integration of choice" for the ecosystem.
• Ecosystem Campaign Intelligence: Monitor the performance of joint marketing plays and provide a "feedback loop" to PMM and Product. You identify which narratives are actually driving pipeline in the field and which need to be pivoted based on real-world buyer behavior.

Ecosystem Scale & Influence

• Executive Alignment: Build and maintain high-level relationships with marketing and product leaders at partner organizations to secure premium sponsorship, co-marketing budget, and roadmap alignment.
• Influence and Align Cross-Functionally: Embed our ISV partnerships within Okta’s highly cross-functional working teams, collaborating across alliances, product marketing, field marketing, demand gen, content, PR, and social.
• Global Playbook Development: Design "Scale" packages—repeatable marketing assets and frameworks—that allow regional marketing teams in EMEA and APJ to execute partner motions with speed and consistency.

Revenue & Performance Management

• Pipeline Accountability: Own the "Partner-Influenced Pipeline" and “Marketing Attached” targets. You will be responsible for the health of the funnel generated through co-marketing activities.
• Data-Driven Optimization: Utilize SFDC, Tableau, and Crossbeam to track ecosystem overlap, measure campaign attribution, and provide regular "State of the Union" reports to leadership. 

Qualifications

• Strategic Experience & Domain Expertise: 6+ years of experience in B2B tech marketing or alliances, ideally within high-growth SaaS environments. You possess a deep understanding of the Identity, Security, or Cloud Infrastructure landscape and can comfortably navigate technical concepts and translate them into business value.
• GTM Orchestration & "Big Picture" Thinking: Proven ability to move beyond one-off tactics to build global "marketing engines." You think in systems and playbooks, with a demonstrated knack for re-imagining how Okta and our partner ecosystem deliver compounding value to customers.
• The "Own It" Mentality: A proactive, high-autonomy leader with a bias for action. You exhibit the rare ability to think strategically about full-funnel pipeline development while remaining "hands-on" to troubleshoot tactics and ensure initiatives deliver tangible ROI.
• Exceptional Influence & Communication: A natural storyteller and persuasive communicator. You are skilled at distilling complex technical integrations into punchy, benefit-driven messaging and are equally effective at presenting to C-suite stakeholders as you are to technical audiences.
• Cross-Functional Leadership Excellence: Mastery of the matrixed environment. You have a proven track record of leading "v-teams" (virtual teams) across PMM, Enablement, and Alliances without direct authority, driving alignment and execution across diverse internal and external stakeholders.
• Educational Foundation: Bachelor’s degree in Marketing, Business, or a related field; or equivalent practical experience in the technology sector.

#LI-Hybrid

(P12589_3413813)

INCLUDE FOR POSTING LOCATION IDENTIFICATION

  #LI-ONSITE

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Location: Live in or able to relocate to San Francisco / San Jose area

Your Role:

Tenable is not only building great products and carving out a completely new category, but we are also building a world-class engineering culture committed to hiring the very best.

We are looking for a Senior Software Engineer to join a founding initiative within our engineering organization. In this role, you will help design and implement the Agentic AI Platform, the orchestration layer and nervous system that enables autonomous agents to reason, plan, and execute complex security workflows across our Exposure Management ecosystem.

This is a hands-on engineering role with broad impact. You will not just be "using" LLMs; you will be building the distributed systems, state machines, and tooling that transform generative models into reliable, enterprise-grade agents. 

While you will work from home the majority of your time, there may be an expectation to gather for in-person meetings on occasion. 

Your Opportunity:

• Build the Agentic Backbone: Architect and implement the backend services that power multi-agent workflows. You will build systems that allow AI agents to decompose complex user requests, manage state, and execute tasks across distributed microservices.
• Orchestration & Workflow Automation: Design scalable workflow engines and "human-in-the-loop" systems. You will enable agents to perform long-running investigations and remediation tasks, balancing autonomy with control.
• Bridge AI & Enterprise Infrastructure: Create the integration layer between modern Python-based AI frameworks and Tenable’s robust JVM-based microservices architecture.
• Reliability & Guardrails: Implement verification layers, citations, and security guardrails to ensure agents operate deterministically and safely. You will treat "prompts" as code and model outputs as untrusted input that requires validation.
• Tooling & RAG: Build advanced Retrieval-Augmented Generation (RAG) pipelines and "Tool Use" capabilities, allowing agents to query databases, call internal APIs, and synthesize data from disparate sources.
• Lead Technical Direction: Collaborate with researchers and product leads to define the roadmap for AI orchestration. Champion best practices for MLOps, agent evaluation, and system observability.

What You’ll Need:

• B.S. or M.S. in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of software engineering experience (7+ for Staff level), with a strong background in building backend systems, APIs, and platforms.
• Agentic AI Expertise: Hands-on experience building AI agents and autonomous workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Pydantic AI.
• Location: Live in or able to relocate to San Francisco / San Jose area
• Polyglot Proficiency: Strong programming skills in Python (essential for AI/ML ecosystems) with experience in, or a willingness to work with, JVM-based languages (Java, Kotlin, or Scala) for high-scale platform components.
• Distributed Systems: Experience designing event-driven architectures, managing concurrency, and building fault-tolerant services (e.g., using Kafka, gRPC, REST).
• Data Fluency: Proficiency with Relational Databases (PostgreSQL) and experience with Vector Databases (e.g., Pinecone, Weaviate, Milvus) or search engines (Elasticsearch).
• Builder Mindset: A self-starter who thrives in ambiguity and is passionate about taking AI from "prototype" to "production-grade."

And Ideally:

• LLM Ops & Evaluation: Experience designing frameworks to evaluate agent performance (accuracy, latency, cost) and implementing CI/CD for AI workflows.
• Cloud Native: Experience deploying and scaling services in AWS using Docker and Kubernetes.
• Graph & Search: Familiarity with Knowledge Graphs or advanced search algorithms to improve agent reasoning.
• Security Context: Understanding of cybersecurity concepts (vulnerability management, cloud security) is a plus, but not required if you are a strong systems engineer.

#LI-LP1

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc.

Your Role:

Tenable is seeking a Staff Software Engineer to join our VM Platform team. Our team sits at the center of our Tenable One architecture; we ingest massive volumes of assets and find data from collection teams, process it to calculate the "state of the world" for our customers, and feed it to downstream search and reporting products.

We are not just building web apps; we are solving a complex Big Data problem. You will build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities. You will move beyond simple CRUD operations to design systems that handle massive scale, ensuring that when we say an asset is vulnerable (or patched), that data is accurate and available in real-time.

To be considered for this role, you must meet one of the following criteria:

• Hybrid: Ability to commute to our Columbia, MD/Northern VA office.
• Hybrid: Ability to commute to our Boston, MA office.
• Remote: Currently reside in the San Francisco Bay Area, CA

Your Opportunity:

• Build the Future of Exposure Management: We are currently developing the backend that powers Tenable’s flagship Exposure Management (EM) platform. You will be building the future that powers our EM platform.
• Solve Complex Data Problems: Work on "team-named data processing" challenges. You will design logic that collapses millions of incoming findings into a single, accurate state record.
• Architect for Scale: Transition our systems to a new architecture designed to be faster, cheaper, and more reliable. Your work will unblock integrations across the entire company.
• Own Your Stack (DevOps): We support our services in the wild. You won't just write code; you will use Terraform and Datadog to deploy, monitor, and ensure the health of your services in production.

What You’ll Need:

• 8+ years of Backend Engineering experience with a focus on high-volume data processing or distributed systems.
• Strong JVM Proficiency: Deep experience with Java, Kotlin,is required. You should understand memory management and performance within the JVM ecosystem.
• Stream Processing Architecture: Proven experience with Kafka (ideally), AWS Kinesis, et al. You understand topics, partitions, and how to process teams of data asynchronously
• To be considered for this role, you must meet one of the following criteria: Hybrid with the ability to commute to our Columbia, MD/Northern VA office,  Hybrid with the ability to commute to our Boston, MA office, or Remote: Currently reside in the San Francisco Bay Area, CA 
• Distributed Systems Knowledge: You understand the challenges of microservices, eventual consistency, and data resiliency.
• Stateful Processing Logic: Experience calculating "state" from a history of events. You understand how to take a stream of raw data and "collapse" it into a current status.
• DevOps Mindset: Hands-on experience with Terraform for infrastructure-as-code and observability tools like Datadog to monitor metrics and graphs.
• Database Experience: Proficiency with SQL and NoSQL data stores (PostgreSQL, DynamoDB, or similar) to store and retrieve state data.
• Experience with Event Sourcing or CQRS patterns.
• While security background is a plus, we value Big Data/Data Pipeline experience first (if you can process data at scale, we can teach you the security domain).

#LI-LP1

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

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.

Job Responsibilities:

• Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
• Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
• Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
• Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:  

• Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
• Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
• Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
• Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
• Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
• AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
• (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
• Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
• Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
• Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

Technical Lead, Oracle Fusion & Enterprise Integrations

We are seeking a hands-on Technical Lead, Oracle Fusion & Enterprise Integrations to own technical architecture, engineering delivery, and platform governance across Oracle Fusion and enterprise integrations.

This role carries primary accountability for Oracle Fusion technical architecture and integration architecture (OIC, Boomi, AWS native integration gateways, APIs, event-driven patterns), while providing secondary technical oversight for Workday and Enterprise Tools (e.g., Atlassian). You will ensure scalable design, disciplined execution, upgrade readiness, intelligent automation enablement, AI adoption governance, technical debt remediation, and long-term platform sustainability.

In addition to direct technical contribution, you will lead a team of Fusion, Integration, Workday, and Enterprise Tools engineers, enforce code and configuration governance, drive deployment discipline, and ensure predictable, high-quality delivery across platforms.

Product Managers owns the “what.” This role owns the “how” and engineering integrity.

Primary Responsibilities

• Own domain-level Oracle Fusion technical architecture across Finance, SCM, and Procurement modules.
• Define and enforce configuration standards, extension strategy, security model governance, and integration guardrails.
• Assess platform health, identify technical debt, and lead remediation initiatives.
• Lead quarterly Fusion upgrade impact analysis and regression governance.
• Design and oversee implementation of extensions, workflows (BPM), Groovy logic, Flexfields, and master data controls.
• Establish governance for AI and intelligent automation within ERP workflows.
• Own integration architecture and strategy across Natera’s SG&A applications and in-house tools.
• Define API-first and event-driven standards across OIC, Boomi, REST/SOAP APIs, business events, middleware, and AWS native integration services (Lambda, API Gateway, EventBridge), ensuring reusable and scalable integration frameworks.
• Close reporting gaps and enable advanced analytics using OTBI, BI Publisher, and Fusion data models.
• Directly manage Integration and Platform Engineers.
• Establish code/configuration review governance and quality standards.
• Drive engineering capacity planning and predictable delivery.
• Provide technical governance and oversight for Workday and Enterprise Tools platforms.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent practical experience.
• 8–12+ years of Oracle ERP experience with 4+ years hands-on Oracle Fusion Cloud expertise.
• Deep expertise in Fusion architecture, extensions, workflows, security model, integrations, and reporting.
• Proven experience implementing workflows using BPM, Application Composer (Groovy), and Flexfields.
• Experience building extensions using APEX and/or Visual Builder.
• Strong experience with OIC and/or Boomi, with solid understanding of API-first and event-driven integration patterns.
• Strong understanding of Fusion data structures and reporting enablement (OTBI/BIP).
• Proven ability to identify and remediate technical debt in enterprise ERP environments.
• Demonstrated ability to enable intelligent automation within enterprise platforms.
• Experience operating in SOX-regulated or controlled environments.
• Experience leading engineers and enforcing engineering governance.

Preferred Qualifications

• Experience leading Oracle Fusion implementations or large-scale Enterprise applications modernization initiatives.
• Experience designing or governing integrations using AWS-native services (Lambda, API Gateway, EventBridge, SQS/SNS).
• Experience integrating ERP platforms with other internal enterprise SaaS applications (Workday, Salesforce) and custom build engineering services or softwares.
• Experience in life sciences, healthcare, or other regulated industries.

If you are a hands-on engineering leader who can architect for scale, govern integrations, enable intelligent automation, and lead disciplined delivery, we’d love to connect.

What You’ll Do

We are seeking an RTL engineer to develop high-fidelity, advanced IP-level power macromodels for AI computing memory component IPs. The role focuses on translating RTL/SystemC/C behavior into time-indexed, input-dependent power models.

Location: Daily onsite presence at our San Jose, CA office in alignment with our Flexible Work policy

Reports to: SVP, R&D (Power & Thermal Lab)

• Develop high-fidelity, advanced RTL- SystemC-, and C-based power macromodels for AI memory component IPs using analytical modeling, LUT, FSM, NN, and their hybrid.
• Extract activity-, value-, and state-dependent power features from C/SystemC/RTL simulations.
• Define power-relevant functional states (transaction/state-based abstraction).
• Support trace-driven power modeling, aligned with C/SystemC workload traces.
• Perform synthesis-assisted calibration using average and worst-case power anchors when available.
• Validate macromodel accuracy against reference RTL/gate-level results and real-silicon data when available.
• Collaborate with software engineers on feature semantics, timing alignment, and model interfaces.
• Contribute to scalable IP-wise composition for full-system power simulation.

What You Bring

• Bachelors degree 20+ years of experience or Masters degree 18+ years of experience.
• Strong RTL design, synthesis and analysis experience (Verilog/SystemVerilog/SystemC).
• Solid understanding of dynamic and leakage power mechanisms in CMOS and interconnects.
• Hands-on experience with logic synthesis and power analysis tools, including VCS, VC Formal, Design Compiler, PrimeTime-PX, StarRC, PowerArtist, Verdi, etc.
• Hands-on experience with power modeling in academia, including McPAT, CACTI, Wattch, etc. and industry tools such as Synopsys Platform Architect.
• Familiarity with SystemC or transaction-level modeling.
• Ability to abstract RTL behavior into compact analytical, table-based, FSM-based, and AL/ML models.
• Knowledge of power macromodeling, power estimation flows, or architectural power analysis.

Preferred Qualifications

• Experience with GPU, computer architecture, AI memory, memory controllers, PHYs, or high-speed I/O.
• Knowledge of cross-coupling capacitance, clock power modeling, and power and signal integrity.
• Exposure to low-power design and thermal management.
• Exposure to power macromodeling, power estimation flows, or architectural power analysis.

Job Title: Principal Engineer, AI System Architect (Hardware)

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a Technical Lead role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42852

What You’ll Do

• Technically Lead the architecture team with strong  direction, shaping system‑architecture strategy and advancing key innovations
• Conduct system-level architectural research for next-generation AI systems, spanning compute, memory, and interconnect/network subsystems.
• Develop and maintain analytical and simulation-based system modeling frameworks to evaluate AI workloads and identify performance, scalability, and efficiency bottlenecks at rack- and system-scale. 
• Analyze representative and emerging system-level architectural research (e.g., LLMs, DLRMs, and future AI models) to derive architecture requirements and trade-offs across compute, memory, networking, and power.  
• Drive architecture-level design decisions through quantitative modeling, design-space exploration, and performance/power projections. 
• Perform comparative studies of alternative system architectures, reporting performance and performance-per-watt metrics to guide strategic technology choices. 
• Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities.  
• Communicate architectural insights and recommendations through clear technical presentations and documentation.   
• Occasional domestic and international travel (<10%).

 What You Bring

• Ph.D. in Computer Science, Electrical Engineering, or a related field preferred,  with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads 
• Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation. 
• Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects.
• Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems.
• Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions.
• Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation. 
• Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams.
• A collaborative mindset, intellectual curiosity, and resilience in tackling complex, open-ended system-level challenges. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-SF1

What You’ll Do

Lead cutting‑edge research on next‑generation AI system architectures. The role is responsible for end‑to‑end co‑design of AI workloads, system‑level modeling, hardware platforms, and high‑performance processors that leverage Samsung’s advanced memory technologies to eliminate capacity, bandwidth, and large‑scale communication bottlenecks.

Location: Daily onsite presence at our San Jose Headquarters in alignment with our Flexible Work policy

AI System Architecture Leadership

• Define system‑level architectures that solve memory‑capacity, bandwidth, and interconnect challenges for large AI workloads (e.g., large language models, recommendation systems).
• Build and maintain analytical and event‑driven simulation frameworks for compute‑memory‑network performance at rack scale.
• Conduct design‑space exploration and quantitative trade‑off studies (performance, power, cost) to guide architecture decisions.
• Partner with SAIT HQ teams to align modeling insights with real‑world AI system implementations.

RISC‑V CPU Architecture Leadership

• Architect high‑performance, out‑of‑order RISC‑V CPU cores that serve as host processors for AI computing systems.
• Drive IPC‑focused feature path‑finding; lead micro‑architecture research through performance‑model simulation and workload analysis.
• Produce detailed micro‑architecture specifications and guide cache/memory hierarchy design for optimal AI workload execution.

Research & Innovation Management

• Lead a multidisciplinary research team, set technical roadmaps, and ensure delivery of high‑impact publications.
• Present architectural insights and strategic recommendations to senior leadership and external partners.

What You Bring

• Education: Ph.D. in Computer Science, Electrical Engineering, or a related field.
• Experience: 10 + years in system‑level architecture research or large‑scale computing platform design, with a strong focus on AI workloads.
• Technical Expertise:
  • Performance modeling, event‑driven simulation, and quantitative analysis of compute‑memory‑interconnect systems.
  • Deep knowledge of modern CPU/accelerator architectures (RISC‑V, ARM, x86) and heterogeneous integration.
  • Proven ability to design rack‑scale AI system architectures that address memory, bandwidth, and interconnect constraints.
  • Proficiency with transaction‑level modeling (TLM) and event‑driven simulation for compute‑memory‑network co‑design.
  • Experience in large‑scale design‑space exploration and PPA (performance, power, area/cost) trade‑off analysis.
  • Expertise in architecture and micro‑architecture design of out‑of‑order CPUs.
  • Hands‑on experience with simulation tools and programming languages such as Python and C++.
• Communication Skills: Excellent written and verbal communication; proven ability to deliver technical presentations to senior stakeholders. 

Preferred Experience

• Proven track record of publishing high‑impact research papers.
• Experience influencing product roadmaps through architectural recommendations.
• Strong collaborative history with cross‑functional teams (hardware, software, memory technology). 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. 
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
  • Innovative and creative, you proactively explore new ideas and adapt quickly to change

#LI-SF1

Job Title: Principal engineer, AI Serving Framework Architect (Software)

What You’ll Do    

The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung’s world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
We are seeking a Principal AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.

Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy

Job ID: 42853

• As a Tech Lead, leading research teams in Korea and proposing technical direction
• Research on dynamic scheduling methodologies for maximizing AI inference performance in multi-rack scale memory-centric systems, comprised of heterogeneous compute-capable memory and hierarchical memory
• Investigating methods to accelerate search operations in RAG’s vector DB and AI Agent’s knowledge-graph by leveraging compute-capable memory
• Studying strategies for optimally placing KVCache and a vector DB in hierarchical memory to minimize frequent SSD accesses and reduce IO stalls
• Proposing SW design for implementing the derived optimization algorithms on open-source platforms such as vLLM

What You Bring

• PhD in Computer Science or a related field with 10+ years of experience in AI Serving Framework for large-scale computing, with focusing on the AI workloads. 
• Led a project to build and optimize a Large Language Model (LLM) Inference Software Stack on a multi-rack scale system to deliver AI Inference services to over 100,000 users. 
• Extensive experience in designing AI Inference Software Stacks for heterogeneous devices.In-depth understanding of the internal architecture and operation mechanisms of inference engines such as vLLM. 
• Proficiency in AI Inference System Profiling and optimization. 
• Knowledge and practical experience with future AI workloads, including reasoning models, multi-modal solutions, AI agents, and world models. 
• Strong understanding of compute, memory, and networking bottlenecks in AI systems. 
• Required skillsets: PyTorch, Python, and C++ 
• A collaborative mindset, curiosity, and resilience in solving complex challenges. 
• Excellent verbal, presentation, and written communication skills. 
• (Nice to have) Native or fluent Korean speakers are preferred. 
• You’re inclusive, adapting your style to the situation and diverse global norms of our people. 
• You approach challenges with curiosity and resilience, seeking data to help build. Understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches. 
• Innovative and creative, you proactively explore new ideas and adapt quickly to change 

#LI-SF1