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Additionally, Scale plays an integral role in understanding the capabilities and safeguarding of LLMs.</p>\n<p>Scale Labs is Scale&#39;s frontier research effort dedicated to tackling the challenging research problems in evaluation, agents, post-training, reasoning, safety and alignment of advanced AI systems. The SPRL team is a new effort focused on safety and policy research to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities.</p>\n<p>We’re looking for a VP of Research to lead this charge. This is a critical leadership role where you will blend cutting-edge research with real-world applied ML impact and build a world-class research organization that expands that capabilities of frontier AI systems and develops safeguards to deploy them responsibly.</p>\n<p>You will shape the technical direction of Scale’s ML research, translate science into production-ready solutions, and partner with go-to-market, delivery, engineering, and customers to ensure our work defines the next era of AI.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Lead the ML Research function, responsible for delivery, quality, performance, and roadmap execution</li>\n<li>Build and scale a global high-performing team, with an emphasis on initiative ownership and ML excellence</li>\n<li>Partner directly with Fortune 100 customers and the GTM team to translate business needs into scalable technical solutions</li>\n<li>Collaborate with engineering, product, and delivery teams across Scale to drive cutting edge research</li>\n<li>Shape the long-term vision and org design of the ML Research team, aligned with business growth and product evolution</li>\n<li>Manage and mentor senior ML Research leaders and instill a culture of accountability, speed, and results</li>\n<li>Make rigorous tradeoffs across technical and business dimensions, backed by financial insight and operational understanding</li>\n<li>Represent ML Research in cross-functional planning cycles, including headcount, budget, and strategic initiatives</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Has a strong track record of leading ML Research teams in high-growth environments, ideally in ML, infrastructure, or complex systems</li>\n<li>Has scaled research organizations across geographies and understands how to structure and evolve teams effectively</li>\n<li>Operates with urgency and clarity,able to distill priorities and move teams from ambiguity to execution</li>\n<li>Has experience partnering deeply with sales, delivery, and customer success teams</li>\n<li>Is equally comfortable in the weeds and at the executive level; knows when to lead from the front and when to empower others</li>\n<li>Brings credibility and curiosity in core technical areas,especially product engineering, infrastructure, or AI agent systems</li>\n</ul>\n<p><strong>Compensation</strong> The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $453,600-$567,000 USD</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>","enriched_at":1785686651990},{"id":"job_2a6f356b-47b","title":"Senior Mission Software Engineer, Public Sector","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4720422005","location":"Austin, TX; Honolulu, HI; St. Louis, MO; Washington, DC","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Scale, we build the AI systems behind some of the country&#39;s most important decisions. On the Public Sector Engineering team, you&#39;ll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions.</p>\n<p>This is a hybrid customer-facing engineering role. You&#39;ll sit with the people whose problems you&#39;re solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale&#39;s platform can do for the public sector.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Embed with government customers to understand their mission, scope the problem, and turn it into working software.</li>\n<li>Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production.</li>\n<li>Build robust backend systems and data integrations that connect customer environments to Scale&#39;s platform and back.</li>\n<li>Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse.</li>\n<li>Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact.</li>\n</ul>\n<h4>Requirements</h4>\n<ul>\n<li>5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts.</li>\n<li>Strong production coding in Python and TypeScript (or comparable modern languages).</li>\n<li>Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals.</li>\n<li>Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure.</li>\n<li>An active TS/SCI clearance.</li>\n</ul>\n<h4>Nice to Have</h4>\n<ul>\n<li>Familiarity with Node and React, Kubernetes and Docker, and Terraform.</li>\n<li>Data engineering background covering ETL pipelines, data modeling, and data governance.</li>\n</ul>\n<h4>Location and Travel</h4>\n<p>This role requires significant time on-site with customers. Expect 25% travel with up to 50% travel as necessary, and/or relocation to Washington DC or St. Louis.</p>\n<h4>Compensation</h4>\n<p>The base salary range for this full-time position in the location of Washington DC/Hawaii is: $223,200-$279,000 USD The base salary range for this full-time position in the location of St. Louis/Suffolk is: $186,000-$233,000 USD You&#39;ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>","enriched_at":1785600367864},{"id":"job_7248289d-b38","title":"Staff Applied AI Engineer","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4720050005","location":"London, UK","job_type":"full-time","experience_level":"staff","work_arrangement":null,"category":"Engineering","description":"<p>Scale&#39;s Global Public Sector team uses AI to address critical public sector challenges worldwide. As a Staff Applied AI Engineer, you will raise the bar for how AI is built, governed, and evaluated across the team. You will define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define standards for responsible AI, model governance, and production MLOps</li>\n<li>Build or validate high-risk parts of strategic AI systems</li>\n<li>Architect AI systems designed to prevent systemic failure</li>\n<li>Build reusable AI capabilities</li>\n<li>Advise on new AI developments and set the technical roadmap</li>\n<li>Act as senior technical partner to client leadership on AI strategy</li>\n<li>Coach Senior Applied AI Engineers and delegate ownership of technical domains</li>\n<li>Contribute to recruiting and representing Scale&#39;s AI work externally</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>7+ years of engineering experience with a multi-year track record owning AI/ML systems in production</li>\n<li>Experience judging training data quality, selecting adaptation methods, evaluating fine-tuning results, and balancing serving cost, latency, and quality trade-offs</li>\n<li>Experience owning an AI-powered product end-to-end</li>\n<li>A track record of establishing standards that outlived projects</li>\n<li>Comfort operating with executive-level clients and leadership</li>\n<li>Deep experience with regulated, sovereign, or on-premise AI deployment</li>\n</ul>\n<p>Location, travel, and vetting requirements vary by assignment. Some UK assignments require BPSS screening and may require SC or DV clearance.</p>","enriched_at":1785514380909},{"id":"job_2a996c5b-b25","title":"Platform Designer","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4718917005","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Design","description":"<p>Scale is hiring a Senior Product Designer / Founding Designer to lead product design for Scale&#39;s rapidly growing &#39;AI for Enterprise Data&#39; business unit.</p>\n<p>The mission of AI for Enterprise Data is to accelerate the deployment of AI by helping large enterprises solve their most ambitious challenges.</p>\n<p>This role will take on multiple products ranging from 0-1 initiatives to improving established products.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design end-to-end user flows, wireframes, high-fidelity mockups, and interactive prototypes for desktop web applications.</li>\n<li>Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges.</li>\n<li>Advocate for the voice of the user as the founding designer of the business unit.</li>\n<li>Prioritize and execute work in a fast-paced environment with rapid timelines and high amounts of scope and ambiguity.</li>\n<li>Contribute to the evolution of our company-wide design system and interaction patterns.</li>\n<li>Take ownership to identify product gaps and rally support for proposed solutions.</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Experience leading end-to-end B2B and enterprise web applications.</li>\n<li>Extremely high proficiency in Figma, fast execution speed is a must.</li>\n<li>Experience designing dashboards, data visualization, domain-specific editors, and forms.</li>\n<li>Understanding of front-end development processes for web interfaces.</li>\n<li>Strong communication and collaboration skills, including customer-facing meetings.</li>\n<li>Portfolio of product design projects that highlight your diversity of skills.</li>\n</ul>\n<p>Nice-to-haves:</p>\n<ul>\n<li>Exposure to artificial intelligence, machine learning, and other technical concepts.</li>\n</ul>\n<p>The salary range for this role is $233,600-$292,000 USD.</p>\n<p>Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>","enriched_at":1785424877792},{"id":"job_4b733a89-fc7","title":"Communications Senior Manager, Corporate & Product (Enterprise)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4718940005","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Marketing","description":"<p>As Communications Manager, Corporate and Product, you will help shape Scale&#39;s narrative on enterprise AI, covering company story, product launches, partner communications, media presence, and executive visibility.</p>\n<p>This role involves translating complex enterprise AI deployments into clear narratives that resonate with business and industry audiences. You will pitch and position Scale&#39;s enterprise wins, product launches, and customer partnerships, highlighting how organisations use Scale&#39;s Generative AI Platform to build and oversee AI applications.</p>\n<p>You will partner with enterprise product leaders, go-to-market teams, and communications counterparts at partner companies to align messaging and coordinate joint announcements. Your goal is to strengthen Scale&#39;s reputation with enterprise customers, industry analysts, and the broader technology ecosystem.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Support corporate and product communications initiatives focused on Scale&#39;s enterprise business, including customer announcements, product launches, and executive visibility.</li>\n<li>Translate complex enterprise AI deployments into compelling narratives for business and industry audiences.</li>\n<li>Develop media strategies, storylines, and press materials such as customer case studies and product announcements.</li>\n<li>Partner with enterprise product managers and go-to-market leaders to accurately represent their work externally.</li>\n<li>Coordinate joint announcements and aligned messaging with communications teams at partner organisations.</li>\n<li>Build and maintain relationships with reporters and influencers across business and enterprise technology media.</li>\n<li>Collaborate with legal, policy, marketing, and social teams to ensure consistent and accurate messaging.</li>\n<li>Contribute to planning and executing multi-channel communications campaigns that elevate Scale&#39;s enterprise credibility.</li>\n<li>Monitor media coverage and industry conversations to identify opportunities for Scale to lead or clarify.</li>\n<li>Prepare executives for interviews, conferences, and speaking opportunities.</li>\n<li>Track performance against communications goals and refine strategies based on impact and feedback.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>7+ years of experience in technology communications, product communications, or enterprise-focused PR.</li>\n<li>Strong understanding of enterprise technology, AI, or B2B software, with the ability to simplify complex concepts.</li>\n<li>Experience supporting enterprise product or platform communications is preferred.</li>\n<li>Demonstrated success in media relations, including securing coverage for enterprise stories.</li>\n<li>Excellent writing and editing skills across formats.</li>\n<li>Highly organised, with the ability to manage multiple complex projects in a fast-paced environment.</li>\n<li>Comfortable working closely with product leaders, customers, and senior executives.</li>\n<li>Genuine enthusiasm for enterprise AI adoption and its role in transforming business.</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Comprehensive health, dental, and vision coverage</li>\n<li>Retirement benefits</li>\n<li>Learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Potential commuter stipend</li>\n</ul>","enriched_at":1785344109639},{"id":"job_8fe25a87-cd5","title":"Enablement Manager (Support)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4716445005","location":"Mexico City, MX","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Operations","description":"<p>The Support Enablement Manager builds and scales training, onboarding, and quality-assurance programs for a high-performing contributor-support team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own the enablement function end to end , assess gaps, prioritize initiatives, and drive them to completion within scope agreed with the Regional Manager; surface recommendations when scope should change.</li>\n<li>Onboarding &amp; curriculum , own the end-to-end onboarding for new Support Specialists; design, build, and continuously improve structured training that reflects current workflows, tools, and contributor-experience standards.</li>\n<li>Coaching &amp; development , build and maintain ongoing training across all tiers; partner with Team Managers to close skill gaps with targeted interventions.</li>\n<li>Quality assurance , own the QA program: scorecard design, calibration, audits, and reporting; keep QA consistent, fair, and actionable.</li>\n<li>Knowledge base / SSOT , own the support knowledge base and its review cadence so guides stay accurate and current.</li>\n<li>Team leadership , lead, develop, and manage a small team of Enablement &amp; QA Specialists; set priorities, coach, and keep the team unblocked.</li>\n<li>Cross-functional partnership , align training and quality initiatives with operational priorities alongside Team Managers, SMEs, Workforce Management, and regional leadership.</li>\n<li>Reporting &amp; insights , track enablement and quality metrics, surface trends and recommendations.</li>\n</ul>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>Experience , 4–6 years in enablement, training, L&amp;D, or instructional design, with 2+ years leading or managing a team.</li>\n<li>Skills , expert instructional design and curriculum development; proven ability to assess complex process gaps; exceptional written and verbal English.</li>\n<li>Technical , proficiency with Zendesk, Slack, and Google Workspace; hands-on experience with LMS platforms, training-delivery tools, and QA/scorecard tooling.</li>\n</ul>\n<p>Preferred (nice to have):</p>\n<ul>\n<li>Experience owning a QA program in a support, BPO, or contributor-marketplace context.</li>\n<li>Fully bilingual English / Spanish.</li>\n<li>Experience leading a distributed / remote team across LatAm.</li>\n</ul>\n<p>What Success Looks Like:</p>\n<ul>\n<li>First 90 days , audited existing training and QA, aligned with regional leadership on what to formalize, fix, or retire.</li>\n<li>Measured against onboarding time-to-productivity, IQS (quality), critical-miss rate, KC / assessment pass rate, and QA audit coverage.</li>\n</ul>","enriched_at":1785247907637},{"id":"job_157b6728-8b1","title":"Director of Product Strategy, Physical AI","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4718559005","location":"San Francisco, CA","job_type":"full-time","experience_level":"executive","work_arrangement":null,"category":"Engineering","description":"<p>The Director of Product Strategy, Physical AI will report to the General Manager of Physical AI, and will be responsible for defining the long-term strategy and business positioning of frontier data products.</p>\n<p>In this senior leadership role, you will own and direct the development and commercialization of products, collaborating closely with Operations, Engineering, and GTM, partnering with Researchers and ML Engineers to guide product direction and help solve complex business challenges.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Develop and execute long-term product portfolio strategy</li>\n<li>Identify new growth opportunities and market trends</li>\n<li>Partner with Researchers and ML Engineers from prospective and existing customers</li>\n<li>Conduct competitive intelligence and customer research</li>\n<li>Partner closely with GTM and Operations to drive cross-functional strategic initiatives</li>\n</ul>\n<p>Required Qualifications:</p>\n<ul>\n<li>Bachelor&#39;s degree in Engineering, Robotics, Computer Science, or a related technical field</li>\n<li>8+ years of Enterprise Product Management, Business Operations, Strategy, or related roles in fast-paced environments</li>\n<li>Experience leading product strategy for complex hardware-software systems</li>\n<li>Strong analytical skills, and a data-driven approach to developing product strategies</li>\n</ul>\n<p>Nice to Haves:</p>\n<ul>\n<li>MS or PhD</li>\n<li>Publication Record: First-author publications at top-tier AI/ML conferences</li>\n</ul>\n<p>Compensation packages at Scale include base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is: $273,600-$342,000 USD.</p>","enriched_at":1785247886783},{"id":"job_9b44093a-e6f","title":"Director of Engineering, Physical AI","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4718618005","location":"San Francisco, CA","job_type":"full-time","experience_level":"executive","work_arrangement":null,"category":"Engineering","description":"<h3>Director of Engineering, Physical AI</h3>\n<p>The Director of Engineering will lead a multi-disciplinary engineering organization, reporting to the General Manager of Physical AI. You will own the execution of the Physical AI Data Engine, collaborating with Operations and GTM to guide product direction and solve the data bottleneck in robotics research.</p>\n<h3>Key Responsibilities:</h3>\n<ul>\n<li>Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research</li>\n<li>Lead a multidisciplinary engineering organization, designing the organizational structure, talent strategy, and culture required to scale rapidly</li>\n<li>Maintain exceptional technical and operational excellence, understanding team deliverables, identifying slipping standards early, and stepping in when necessary</li>\n<li>Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities</li>\n<li>Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure for complex robotics workloads</li>\n</ul>\n<h3>Required Qualifications:</h3>\n<ul>\n<li>Bachelor&#39;s degree in Engineering, Robotics, Computer Science, or a related technical field</li>\n<li>8+ years of engineering experience in fast-paced environments, including 4+ years direct people management</li>\n<li>Experience leading technical execution for complex hardware-software systems, with deep domain knowledge in Robotics, Autonomous Vehicles, Computer Vision, and/or Machine Learning strongly preferred</li>\n<li>Deep fluency in the ML development lifecycle , training pipelines, data flywheels, and evaluation frameworks</li>\n<li>Comfortable leading teams across Python, C++, and TypeScript/Node stacks, distributed systems, cloud infrastructure (AWS, Kubernetes), and workflow orchestration (Temporal, Airflow)</li>\n<li>Proven ability to independently navigate, execute effectively amidst ambiguity, and strong attention to detail</li>\n<li>Strong operator and communicator to create tight feedback loops between teams, surface problems early, and drive decisions with clarity</li>\n</ul>\n<h3>Nice to Have</h3>\n<ul>\n<li>MS or PhD is a plus, though strong practical experience is equally valued</li>\n<li>Hands-on experience with teleoperation systems, robotic hardware platforms, or imitation learning</li>\n<li>Background in sensor fusion, SLAM, or 3D data processing</li>\n<li>Experience scaling data collection systems globally</li>\n</ul>\n<h3>Compensation</h3>\n<p>The base salary range for this full-time position in San Francisco is: $302,400-$378,000 USD. You&#39;ll also receive benefits including comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>","enriched_at":1785247870022},{"id":"job_411bfa64-511","title":"Support Team Lead","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4716431005","location":"Argentina; Mexico City, MX","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Operations","description":"<h3>Role Summary</h3>\n<p>The Support Team Lead is responsible for day-to-day leadership and performance of a team of Support Specialists. This role balances hands-on people management with operational oversight, including coaching team members, driving performance outcomes, managing escalations, and ensuring contributors receive consistent, high-quality support experiences.</p>\n<p>The ideal candidate leads with curiosity, communicates proactively, and holds themselves and their team to a high standard of accountability, quality, and continuous improvement.</p>\n<h3>Key Responsibilities</h3>\n<ul>\n<li>Team Leadership &amp; Coaching: Lead, coach, and develop a team of Support Specialists through regular 1:1s, structured feedback, and performance conversations. Foster a collaborative, accountable, and high-performing team culture.</li>\n<li>Performance Management: Monitor and evaluate team performance across quality, productivity, CSAT, SLA attainment, and adherence metrics. Identify trends, surface insights, and create action plans to drive continuous improvement.</li>\n<li>Operational Oversight: Manage day-to-day team operations including ticket queue health, schedule adherence, coverage coordination, and shift handoffs.</li>\n<li>Escalation Management: Serve as the primary escalation point for complex or unresolved contributor issues.</li>\n<li>Reporting &amp; Analytics: Track and report on team performance metrics, surfacing trends and actionable insights.</li>\n<li>Cross-functional Collaboration: Partner with Leadership, Quality, Enablement, and SME teams to drive process improvements and contributor experience enhancements.</li>\n<li>Team Development &amp; Training: Support the onboarding of new team members and contribute to ongoing training and development.</li>\n</ul>\n<h3>Minimum Qualifications</h3>\n<ul>\n<li>Experience: Minimum 2 years of direct people management experience in a customer support or operations environment.</li>\n<li>Skills: Strong written and verbal communication skills in English. Proven ability to manage competing priorities, make sound decisions under pressure, and deliver constructive feedback effectively.</li>\n<li>Technical: Proficiency in support and collaboration tools including Zendesk, Slack, and Google Workspace.</li>\n<li>Attributes: High ownership and accountability. People-first mindset with the ability to balance empathy and operational efficiency.</li>\n</ul>\n<h3>What Success Looks Like</h3>\n<p>Successful Team Leads build trust while holding their teams accountable. They coach through curiosity, empower agents to work more independently, and communicate proactively with both their team and stakeholders.</p>","enriched_at":1785247769119},{"id":"job_d187b0fc-433","title":"Security Engineer, Public Sector","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4718314005","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":null,"category":"Engineering","description":"<p>We are seeking a highly technical Security Engineer to join our Public Sector Infrastructure &amp; Security team as a security generalist. As a generalist you will ensure the security and integrity of our products and platform designing and shipping high-precision detections across cloud services and enterprise SaaS.</p>\n<p>You won&#39;t just investigate incidents, you&#39;ll build the systems that detect, contain, and prevent them. Your ability to write production-quality code is just as important as your ability to triage an alert.</p>\n<p>You will:</p>\n<ul>\n<li>Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.</li>\n<li>Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.</li>\n<li>Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.</li>\n<li>Perform digital incident investigations to identify and contain potential security breaches.</li>\n<li>Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.</li>\n<li>Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.</li>\n<li>Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization.</li>\n<li>Utilize threat intelligence platforms to improve hunting, detection, and response workflows.</li>\n<li>Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.</li>\n</ul>\n<p>Must have:</p>\n<ul>\n<li>At least an active Top Secret clearance.</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.</li>\n<li>5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.</li>\n<li>Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.</li>\n<li>Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.</li>\n<li>Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.</li>\n<li>Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.</li>\n<li>Familiarity with digital forensics tools and malware analysis techniques.</li>\n<li>Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.</li>\n<li>Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.</li>\n<li>Strong communication skills, with the ability to translate complex security findings into clear business impact.</li>\n<li>Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>","enriched_at":1784985072215}],"category_normalised":[{"category":"engineering","count":110},{"category":"sales","count":8},{"category":"operations","count":7},{"category":"legal","count":5},{"category":"marketing","count":3},{"category":"it","count":3},{"category":"hr","count":2},{"category":"design","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":65},{"week_start":"2026-04-20","count":2},{"week_start":"2026-04-27","count":4},{"week_start":"2026-05-04","count":3},{"week_start":"2026-05-11","count":3},{"week_start":"2026-05-18","count":2},{"week_start":"2026-05-25","count":2},{"week_start":"2026-06-01","count":7},{"week_start":"2026-06-08","count":5},{"week_start":"2026-06-15","count":3},{"week_start":"2026-06-22","count":5},{"week_start":"2026-06-29","count":4},{"week_start":"2026-07-06","count":9},{"week_start":"2026-07-13","count":5},{"week_start":"2026-07-20","count":12},{"week_start":"2026-07-27","count":9}],"trend":"accelerating","wow_pct":-25},"momentum":{"recent_14d":21,"prior_14d":14,"growth_pct":50,"classification":"accelerating"},"salary_vs_industry":{"company_median":229800,"industry_median":null,"percentile":null,"sample_size":50,"by_region":[{"region":"United States","company_median":229800,"industry_median":null,"sample":50}],"transparency_pct":37,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":140,"industry_total":140,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.287,"skill_weighted_score":0.398,"top_exposed_titles":[{"title":"Technical Program Manager, Public Sector","count":2,"score":0.092},{"title":"Technical Program Manager, Platform","count":2,"score":0.092},{"title":"Technical Program Manager, Enterprise","count":2,"score":0.092},{"title":"Solutions Engineer, Enterprise","count":2,"score":0.199},{"title":"Software Engineer, Robotics","count":2,"score":0.288},{"title":"Senior Software Engineer, Identity","count":2,"score":0.288},{"title":"Product Manager of AI Applications, Global Public Sector","count":2,"score":0.32},{"title":"Field Engineer, Public Sector","count":2,"score":0},{"title":"AI Infrastructure Engineer, Sandbox Platform","count":2,"score":0.288}],"top_exposed_skills":[{"skill":"Deep Learning","count":3,"score":0.46},{"skill":"Interpretability","count":3,"score":0.46},{"skill":"Post-training Methods","count":3,"score":0.46},{"skill":"PyTorch","count":5,"score":0.431},{"skill":"NodeJS","count":5,"score":0.416},{"skill":"SAST","count":3,"score":0.369},{"skill":"DAST","count":3,"score":0.369},{"skill":"CI/CD","count":3,"score":0.362},{"skill":"Reinforcement Learning","count":4,"score":0.353},{"skill":"Terraform","count":7,"score":0.348}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":104,"share_pct":74.3},{"region":"United Kingdom","count":18,"share_pct":12.9},{"region":"Middle East","count":10,"share_pct":7.1},{"region":"Latin America","count":7,"share_pct":5},{"region":"Canada","count":1,"share_pct":0.7}],"emerging":[{"region":"United States","recent_30d":22,"prior_30d":14,"growth_pct":57},{"region":"United Kingdom","recent_30d":8,"prior_30d":3,"growth_pct":167},{"region":"Latin America","recent_30d":3,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":4,"exec_prior_90d_avg":2,"exec_growth_pct":100,"notable_exec_hires":[{"title":"VP, Research","location":"San Francisco, CA","posted_at":"2026-08-02"},{"title":"Director of Product Strategy, Physical AI","location":"San Francisco, CA","posted_at":"2026-07-28"},{"title":"Director of Engineering, Physical AI","location":"San Francisco, CA","posted_at":"2026-07-28"},{"title":"Head of Engagement Management","location":"San Francisco, CA","posted_at":"2026-07-22"}]},"posting_dynamics":{"median_days_open":39,"industry_median_days_open":null,"long_open_count":71,"closure_rate_pct":22}}}}