At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As Security Operations Lead, you'll lead our SecOps squad and own how Sword detects, investigates, and responds to threats. You'll help structure how this function operates - setting the direction on SIEM architecture, detection engineering, and incident response - and use automation and AI to scale a focused team across a fast-growing, multi-continent footprint. You'll be a core voice in our security strategy, and the systems, processes, and culture you build will set the bar for how Sword protects 700,000+ members. To get to know more about our Tech Stack, check here. What you'll be doing Serve as the hands-on technical lead for Sword's Security Operations Center. Setting the technical direction - architecting the SIEM, engineering detection logic, executing incident response, and building the technical roadmap to scale our defenses as the company grows. Own the SIEM end-to-end (architecture, data sources, normalization, retention, cost, and tuning) and evolve detection-as-code content aligned to MITRE ATT&CK and Sword's threat model. Lead the SOC/CSIRT team technically - mentoring detection and response engineers, raising the bar on investigations, running on-call and escalation models, and acting as commander for major incidents. Set the strategy and technical direction for Sword's Security Operations Center - defining the operating model, SIEM and detection architecture, incident response capability, and the roadmap to scale them as the company grows. Drive an AI- and automation-first transformation of security operations: design SOAR playbooks, agentic and LLM-assisted triage workflows, and ML-driven detection to reduce MTTD/MTTR, expand coverage, and let a lean team operate at enterprise scale. Lead high-severity incident response from detection through containment, eradication, recovery, and post-incident review, partnering with engineering, IT, legal, and executive stakeholders during critical events. Run the threat intelligence and threat hunting programs, converting emerging TTPs into new detections, proactive hardening, and informed risk decisions. Advanced Incident Response & Threat Hunting: Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Define and report on SOC performance - MTTD, MTTR, coverage, automation rate, false-positive rate, on-call health - and use those metrics to drive measurable, continuous improvement. Influence security architecture and engineering decisions across the company, ensuring detection, response, and recovery are built into new products, platforms, and infrastructure from day one. Detection & Automation Leadership: Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. 7+ years experience in Security Operations Proven experience scaling a SOC through automation and AI - SOAR, hyperautomation, LLM-assisted triage, agentic workflows, or ML-driven detection - with measurable impact on MTTR, coverage, or analyst leverage. Hands-on experience structuring a SOC, either building one from the ground up or maturing one through significant transformation - SIEM selection, implementation or migration, detection engineering practice, runbook libraries, on-call rotations, and operating metrics. Deep SIEM expertise (Splunk, Sentinel, Google SecOps/Chronicle, Elastic, or similar) - ingestion architecture, detection-as-code, query optimization, and coverage-versus-cost tradeoffs. Highly preferred: Google SecOps/Chronicle Prior experience as the technical lead of a SOC or CSIRT team - owning the full incident response lifecycle, mentoring analysts and engineers, and acting as on-call/incident commander during major incidents. Strong incident response track record - leading high-severity investigations, root cause analysis, digital forensics, and post-incident reviews that produced durable improvements. Solid experience in cloud environments (AWS and/or GCP), with strong understanding of cloud-native threats and controls. Strong scripting and development skills (Python, Go, Bash, or similar) for building automation, integrations, and internal tooling. Working knowledge of EDR/XDR, identity, and network detection telemetry, and how to combine signals into high-fidelity detections. Fluency with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001) and the judgment to apply them pragmatically. Background in threat modeling, adversary emulation, and risk-based alert tuning. Excellent communicator - able to brief executives during a Sev1, write a clear post-mortem, and translate technical risk into business language for non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations and fostering collaboration across InfoSec, IT, and engineering. Forensics experience, investigating incidents and preserving digital evidence. Public Trust Clearance Candidates must be able to obtain and maintain a US public trust clearance. Please note that US citizenship is required to obtain and maintain a government security clearance. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,978-$210,537 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As Security Operations Lead, you'll lead our SecOps squad and own how Sword detects, investigates, and responds to threats. You'll help structure how this function operates - setting the direction on SIEM architecture, detection engineering, and incident response - and use automation and AI to scale a focused team across a fast-growing, multi-continent footprint. You'll be a core voice in our security strategy, and the systems, processes, and culture you build will set the bar for how Sword protects 700,000+ members. To get to know more about our Tech Stack, check here. What you'll be doing Serve as the hands-on technical lead for Sword's Security Operations Center. Setting the technical direction - architecting the SIEM, engineering detection logic, executing incident response, and building the technical roadmap to scale our defenses as the company grows. Own the SIEM end-to-end (architecture, data sources, normalization, retention, cost, and tuning) and evolve detection-as-code content aligned to MITRE ATT&CK and Sword's threat model. Lead the SOC/CSIRT team technically - mentoring detection and response engineers, raising the bar on investigations, running on-call and escalation models, and acting as commander for major incidents. Set the strategy and technical direction for Sword's Security Operations Center - defining the operating model, SIEM and detection architecture, incident response capability, and the roadmap to scale them as the company grows. Drive an AI- and automation-first transformation of security operations: design SOAR playbooks, agentic and LLM-assisted triage workflows, and ML-driven detection to reduce MTTD/MTTR, expand coverage, and let a lean team operate at enterprise scale. Lead high-severity incident response from detection through containment, eradication, recovery, and post-incident review, partnering with engineering, IT, legal, and executive stakeholders during critical events. Run the threat intelligence and threat hunting programs, converting emerging TTPs into new detections, proactive hardening, and informed risk decisions. Advanced Incident Response & Threat Hunting: Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Define and report on SOC performance - MTTD, MTTR, coverage, automation rate, false-positive rate, on-call health - and use those metrics to drive measurable, continuous improvement. Influence security architecture and engineering decisions across the company, ensuring detection, response, and recovery are built into new products, platforms, and infrastructure from day one. Detection & Automation Leadership: Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. 7+ years experience in Security Operations Proven experience scaling a SOC through automation and AI - SOAR, hyperautomation, LLM-assisted triage, agentic workflows, or ML-driven detection - with measurable impact on MTTR, coverage, or analyst leverage. Hands-on experience structuring a SOC, either building one from the ground up or maturing one through significant transformation - SIEM selection, implementation or migration, detection engineering practice, runbook libraries, on-call rotations, and operating metrics. Deep SIEM expertise (Splunk, Sentinel, Google SecOps/Chronicle, Elastic, or similar) - ingestion architecture, detection-as-code, query optimization, and coverage-versus-cost tradeoffs. Highly preferred: Google SecOps/Chronicle Prior experience as the technical lead of a SOC or CSIRT team - owning the full incident response lifecycle, mentoring analysts and engineers, and acting as on-call/incident commander during major incidents. Strong incident response track record - leading high-severity investigations, root cause analysis, digital forensics, and post-incident reviews that produced durable improvements. Solid experience in cloud environments (AWS and/or GCP), with strong understanding of cloud-native threats and controls. Strong scripting and development skills (Python, Go, Bash, or similar) for building automation, integrations, and internal tooling. Working knowledge of EDR/XDR, identity, and network detection telemetry, and how to combine signals into high-fidelity detections. Fluency with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001) and the judgment to apply them pragmatically. Background in threat modeling, adversary emulation, and risk-based alert tuning. Excellent communicator - able to brief executives during a Sev1, write a clear post-mortem, and translate technical risk into business language for non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations and fostering collaboration across InfoSec, IT, and engineering. Forensics experience, investigating incidents and preserving digital evidence. Public Trust Clearance Candidates must be able to obtain and maintain a US public trust clearance. Please note that US citizenship is required to obtain and maintain a government security clearance. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,978-$210,537 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior Security Engineer (Security Operations) at Sword, you will be at the forefront of safeguarding our cloud infrastructure and applications. Your expertise will ensure robust security measures, incident response, and continuous improvement. Are you looking to join an incredible IT team, passionate about simplifying everyone's work? Look no further, we're hiring! We're a proactive team, constantly staying ahead to ensure everything runs smoothly. As an IT Team we understand the importance of technology in today's workplace and the impact that technical issues can have on productivity and efficiency. Want to join the team? Find out if you've got what it takes! To get to know more about our Tech Stack, check here. What you'll be doing Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response. Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context. Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline. Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats. Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats. Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development. Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, Google SecOps/Chronicle, etc.), SOAR, EDR/XDR, and log management. Highly Preferred: Google SecOps/Chronicle Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams. Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001). Excellent analytical, critical thinking, and problem-solving skills. Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios. Proficiency in process formulation and improvement. Background in threat modeling, adversary emulation, and risk-based alert tuning. Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations. Ability to foster collaboration across InfoSec, IT, and engineering teams. Forensics experience, investigating incidents and preserving digital evidence. Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification. Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions. Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs. Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes. Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings. Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,000-$209,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior Security Engineer (Security Operations) at Sword, you will be at the forefront of safeguarding our cloud infrastructure and applications. Your expertise will ensure robust security measures, incident response, and continuous improvement. Are you looking to join an incredible IT team, passionate about simplifying everyone's work? Look no further, we're hiring! We're a proactive team, constantly staying ahead to ensure everything runs smoothly. As an IT Team we understand the importance of technology in today's workplace and the impact that technical issues can have on productivity and efficiency. Want to join the team? Find out if you've got what it takes! To get to know more about our Tech Stack, check here. What you'll be doing Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response. Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context. Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline. Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats. Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats. Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development. Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, Google SecOps/Chronicle, etc.), SOAR, EDR/XDR, and log management. Highly Preferred: Google SecOps/Chronicle Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams. Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001). Excellent analytical, critical thinking, and problem-solving skills. Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios. Proficiency in process formulation and improvement. Background in threat modeling, adversary emulation, and risk-based alert tuning. Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations. Ability to foster collaboration across InfoSec, IT, and engineering teams. Forensics experience, investigating incidents and preserving digital evidence. Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification. Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions. Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs. Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes. Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings. Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,000-$209,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo generates an unprecedented scale and complexity of data from billions of miles driven in simulation, millions on public roads, and the growing commercial operations. At the heart of achieving our mission lies the ability to deeply understand this data. World-class data analysis infrastructure is the bedrock of Waymo's success. It is absolutely critical for: Validating the safety and performance of the Waymo Driver. Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning. Enabling data-driven decisions for our commercial operations and product strategy. Standardizing how we measure progress and compare performance across different contexts. The insights derived from our data platforms directly influence every aspect of our technology and business. We are looking for an exceptional technical leader to drive the vision and architecture of these vital systems. About the Role: We are seeking an exceptional a Leader to provide technical leadership and architectural vision for the core data platforms that power Waymo's insights and decision-making. This role is pivotal in shaping how Waymo leverages data to understand complex scenarios, measure progress, and ultimately deploy and operate our autonomous technology safely and effectively across the globe. You will be instrumental in tackling some of our most challenging data systems problems, from ensuring metrics consistency to building a scalable single source of truth for our ride-hail commercialization expansion. You will: Lead the architectural design and technical strategy for Waymo's core data platforms, encompassing a "Single Source of Truth" data lake for Commercialization and "Metrics Portability and Standardization" for Driver Evaluations. Establish and enforce comprehensive data governance frameworks across the data ecosystem, enabling easy data discoverability, and enhancing data quality. Identify and address inefficiencies in the data development lifecycle. Drive initiatives to improve developer productivity, streamline workflows, and enhance the overall effectiveness of the data engineering and metrics development functions in Waymo. Serve as a lead technical liaison, collaborating deeply with Simulation, Onboard, ML, and Commercialization teams to understand data needs, define data contracts, translate requirements into technical solutions, and ensure alignment on architectural direction. Mentor senior engineers, guide critical technical decisions, and champion best practices in data engineering, including system reliability, efficiency, developer experience, and innovation to address new challenges. You have: Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries. Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams. Extensive experience architecting, building, and operating complex, large-scale distributed data systems (e.g., data lakes, lakehouse, data mesh, streaming platforms, query engines). Deep expertise in designing and implementing data governance principles, including metadata systems, data lineage, data quality frameworks, and data discoverability solutions at scale. Strong experience in designing and evolving data-centric APIs, schemas, and data contracts to ensure system interoperability, portability, and long-term maintainability. Expertise in data pipeline and query engine development and proficiencies in writing both SQL and one of C++/Java/Python code language. We prefer: Familiarity with data from autonomous vehicle operations, logistics, or ride-hailing business domains. Experience with Google's data infrastructure and tools such as F1 Query, Napa, Flume, Plx, or Google Cloud Platform (GCP) data services such as BigQuery, Cloud Dataflow, etc. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo generates an unprecedented scale and complexity of data from billions of miles driven in simulation, millions on public roads, and the growing commercial operations. At the heart of achieving our mission lies the ability to deeply understand this data. World-class data analysis infrastructure is the bedrock of Waymo's success. It is absolutely critical for: Validating the safety and performance of the Waymo Driver. Accelerating research and development cycles across engineering, including Simulation, Onboard, and Machine Learning. Enabling data-driven decisions for our commercial operations and product strategy. Standardizing how we measure progress and compare performance across different contexts. The insights derived from our data platforms directly influence every aspect of our technology and business. We are looking for an exceptional technical leader to drive the vision and architecture of these vital systems. About the Role: We are seeking an exceptional a Leader to provide technical leadership and architectural vision for the core data platforms that power Waymo's insights and decision-making. This role is pivotal in shaping how Waymo leverages data to understand complex scenarios, measure progress, and ultimately deploy and operate our autonomous technology safely and effectively across the globe. You will be instrumental in tackling some of our most challenging data systems problems, from ensuring metrics consistency to building a scalable single source of truth for our ride-hail commercialization expansion. You will: Lead the architectural design and technical strategy for Waymo's core data platforms, encompassing a "Single Source of Truth" data lake for Commercialization and "Metrics Portability and Standardization" for Driver Evaluations. Establish and enforce comprehensive data governance frameworks across the data ecosystem, enabling easy data discoverability, and enhancing data quality. Identify and address inefficiencies in the data development lifecycle. Drive initiatives to improve developer productivity, streamline workflows, and enhance the overall effectiveness of the data engineering and metrics development functions in Waymo. Serve as a lead technical liaison, collaborating deeply with Simulation, Onboard, ML, and Commercialization teams to understand data needs, define data contracts, translate requirements into technical solutions, and ensure alignment on architectural direction. Mentor senior engineers, guide critical technical decisions, and champion best practices in data engineering, including system reliability, efficiency, developer experience, and innovation to address new challenges. You have: Proven track record of setting technical vision, driving multi-quarter roadmaps, and delivering impactful data projects as a technical lead for senior engineering teams, with demonstrated ability to influence across organizational boundaries. Excellent communication skills, with the ability to articulate complex technical designs, trade-offs, and strategies to diverse stakeholders, including senior leadership and partner engineering, data scientists, and product teams. Extensive experience architecting, building, and operating complex, large-scale distributed data systems (e.g., data lakes, lakehouse, data mesh, streaming platforms, query engines). Deep expertise in designing and implementing data governance principles, including metadata systems, data lineage, data quality frameworks, and data discoverability solutions at scale. Strong experience in designing and evolving data-centric APIs, schemas, and data contracts to ensure system interoperability, portability, and long-term maintainability. Expertise in data pipeline and query engine development and proficiencies in writing both SQL and one of C++/Java/Python code language. We prefer: Familiarity with data from autonomous vehicle operations, logistics, or ride-hailing business domains. Experience with Google's data infrastructure and tools such as F1 Query, Napa, Flume, Plx, or Google Cloud Platform (GCP) data services such as BigQuery, Cloud Dataflow, etc. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $281,000-$356,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. The Data Intelligence team is the strategic engine driving the democratization of AI across Waymo G&A. Operating at the unique intersection of cutting-edge Generative AI and corporate business strategy, we don't just build solutions in isolation we design, architect, and deploy intelligent, agentic systems that transform how Waymo operates. By bridging the gap between complex data and real-world business action, we empower G&A leaders (from Finance and Supply Chain to People Ops and Legal) to automate manual processes, scale operational efficiency, and make high-velocity, data-driven decisions as Waymo enters hyperscale This role follows a hybrid work schedule and reports to Data Intelligence Manager. You will: Act as a domain authority in AI across G&A, mentoring team members, setting technical standards, and guiding leadership on AI investments and roadmap prioritization. Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools. Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks. Partner with business units to identify manual bottlenecks in Finance, HR, Sales, Supply Chain and Marketing applying AI to automate complex processes. Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms. You have: BS degree in Computer Science, or a related technical field, or equivalent practical experience 8-10 years of professional experience across data science, data engineering and business intelligence disciplines. 3+ years of technical experience with a focus on building and shipping AI/ML products Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements. Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms Experience with GCP, Vertex AI, A2A, MCP and ADK frameworks and their application in enterprise systems Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders We prefer: Deep expertise integrating AI and LLM solutions securely with major enterprise SaaS platforms (e.g., Salesforce, SAP, Workday, ServiceNow) in a complex, global corporate environment Experience designing advanced agentic patterns (e.g., multi-agent orchestration, complex RAG architectures, dynamic tool use) for automating multi-step, cross-platform business workflows. Proven track record of influencing cross-functional leadership, driving technical strategy, and managing organizational change to ensure high user adoption of new AI tools across non-technical business units Strong understanding of AI governance, enterprise data privacy standards, and security protocols (e.g., RBAC, data loss prevention) when deploying AI applications on internal corporate data Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment Experience acting as a technical multiplier-mentoring team members, setting engineering standards for AI tooling, and guiding leadership on AI investments and roadmap prioritization. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $200,000-$247,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes. The Data Intelligence team is the strategic engine driving the democratization of AI across Waymo G&A. Operating at the unique intersection of cutting-edge Generative AI and corporate business strategy, we don't just build solutions in isolation we design, architect, and deploy intelligent, agentic systems that transform how Waymo operates. By bridging the gap between complex data and real-world business action, we empower G&A leaders (from Finance and Supply Chain to People Ops and Legal) to automate manual processes, scale operational efficiency, and make high-velocity, data-driven decisions as Waymo enters hyperscale This role follows a hybrid work schedule and reports to Data Intelligence Manager. You will: Act as a domain authority in AI across G&A, mentoring team members, setting technical standards, and guiding leadership on AI investments and roadmap prioritization. Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools. Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks. Partner with business units to identify manual bottlenecks in Finance, HR, Sales, Supply Chain and Marketing applying AI to automate complex processes. Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms. You have: BS degree in Computer Science, or a related technical field, or equivalent practical experience 8-10 years of professional experience across data science, data engineering and business intelligence disciplines. 3+ years of technical experience with a focus on building and shipping AI/ML products Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements. Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms Experience with GCP, Vertex AI, A2A, MCP and ADK frameworks and their application in enterprise systems Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders We prefer: Deep expertise integrating AI and LLM solutions securely with major enterprise SaaS platforms (e.g., Salesforce, SAP, Workday, ServiceNow) in a complex, global corporate environment Experience designing advanced agentic patterns (e.g., multi-agent orchestration, complex RAG architectures, dynamic tool use) for automating multi-step, cross-platform business workflows. Proven track record of influencing cross-functional leadership, driving technical strategy, and managing organizational change to ensure high user adoption of new AI tools across non-technical business units Strong understanding of AI governance, enterprise data privacy standards, and security protocols (e.g., RBAC, data loss prevention) when deploying AI applications on internal corporate data Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment Experience acting as a technical multiplier-mentoring team members, setting engineering standards for AI tooling, and guiding leadership on AI investments and roadmap prioritization. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $200,000-$247,000 USD
Job Description Job Description (ID: ) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Axle is seeking an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML. Responsibilities: Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure Own and drive incident response, root cause analysis, and service restoration for mission-critical systems Design, build, and maintain golden images, patching strategies, and system hardening standards Lead patch management and vulnerability remediation programs ensuring compliance and system integrity Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks Manage and mentor a team of systems engineers; provide technical guidance and performance oversight Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency Support hybrid environments including cloud platforms and on-premise data centers Ensure proper documentation, runbooks, SOPs, and operational readiness Stay abreast of new technologies in your areas but not limited to US Federal Standards, NIST Publications, cloud computing & deployment, site reliability engineering, security standards and compliance best practices etc. Requirements: Must have 5+ years of experience leading operations team with hands-on experience in driving operational process improvements and technological advancements. Proven experience implementing and operating within ITIL frameworks Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments Hands-on experience with incident management, patching, system hardening, and production support Experience building and maintaining golden images and standardized environments Strong scripting/automation skills (e.g., Python, Bash, PowerShell or similar) Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar) Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing) Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana) Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Experience supporting AI/ML workloads or data-intensive platforms Familiarity with GPU-based compute environments (e.g., NVIDIA GPU instances) Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred Networking certifications (CCNA/CCNP) are a plus Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range $150,000-$170,000 USD
09/20/2026
Full time
Job Description Job Description (ID: ) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Benefits We Offer: 100% Medical, Dental & Vision Coverage for Employees Paid Time Off and Paid Holidays 401K match up to 5% Educational Benefits for Career Growth Employee Referral Bonus Flexible Spending Accounts: Healthcare (FSA) Parking Reimbursement Account (PRK) Dependent Care Assistant Program (DCAP) Transportation Reimbursement Account (TRN) Axle is seeking an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML. Responsibilities: Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure Own and drive incident response, root cause analysis, and service restoration for mission-critical systems Design, build, and maintain golden images, patching strategies, and system hardening standards Lead patch management and vulnerability remediation programs ensuring compliance and system integrity Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks Manage and mentor a team of systems engineers; provide technical guidance and performance oversight Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency Support hybrid environments including cloud platforms and on-premise data centers Ensure proper documentation, runbooks, SOPs, and operational readiness Stay abreast of new technologies in your areas but not limited to US Federal Standards, NIST Publications, cloud computing & deployment, site reliability engineering, security standards and compliance best practices etc. Requirements: Must have 5+ years of experience leading operations team with hands-on experience in driving operational process improvements and technological advancements. Proven experience implementing and operating within ITIL frameworks Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments Hands-on experience with incident management, patching, system hardening, and production support Experience building and maintaining golden images and standardized environments Strong scripting/automation skills (e.g., Python, Bash, PowerShell or similar) Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar) Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing) Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana) Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Experience supporting AI/ML workloads or data-intensive platforms Familiarity with GPU-based compute environments (e.g., NVIDIA GPU instances) Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred Networking certifications (CCNA/CCNP) are a plus Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. Salary Range $150,000-$170,000 USD