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As a TPM on our public sector delivery team, you will own or support a customer account plan, triage customer technical issues, use data and analytics to align internal resources around Scale&#39;s hardest problems, and drive the creation of tools that add direct value to Scale&#39;s Public Sector customers.</p>\n<p>You will:</p>\n<p>Manage customer relationships from the executive to the end user Work alongside customers to scope computer vision use cases that Scale&#39;s engineering team will build and you will ultimately refine Lead or support a cross-functional project team to deliver on and exceed the customer&#39;s AI/ML objectives Lead with a &#39;whatever-it-takes&#39; mentality, proactively identifying customer needs and operator pain points to ensure customer success Learn technical concepts and tools to necessary depth, leveraging that expertise to create solutions from scratch or drastically improve existing solutions Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision domain</p>\n<p>We have a diverse team with a variety of skill sets, many have:</p>\n<p>A technical background (education or professional experience with computer science, economics, statistics, engineering) A proven track record in B2B client-facing roles and expanding client relationships Prior experience owning the technical implementation of solutions to the government</p>\n<p>Must haves:</p>\n<p>An active TS/SCI clearance 3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions A deep understanding of ML operations process A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with customers up to 4 days per week in the DMV area and/or prepared to travel a minimum of 25%</p>\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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400-$249,000 USD</p>","enriched_at":1777997241830},{"id":"job_fc497ca2-cca","title":"Internal Communications Senior Manager","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4691287005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Communications","description":"<p>We&#39;re looking for an Internal Communications Senior Manager to join our Communications team. As a key driver in building and scaling a world-class internal comms function, you will connect every employee to Scale&#39;s mission, leadership vision, and business milestones.</p>\n<p>This is a high-impact, cross-functional role that will shape how nearly every team at Scale understands and rallies around company goals. 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As an engagement manager on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience.</p>\n<p>This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness , and who thrives in fast-moving, ambiguous, and mission-driven environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Managing customer relationships from the executive to the end user</li>\n<li>Working alongside customers to scope agentic workflow use cases that Scale&#39;s engineering team will build and you will ultimately refine</li>\n<li>Leading a cross-functional project team to deliver on and exceed the customer&#39;s AI/ML objectives</li>\n<li>Leading with a &#39;whatever-it-takes&#39; mentality, proactively identifying customer needs and operator pain points to ensure customer success</li>\n<li>Overseeing onboarding and successful implementation of customer accounts</li>\n</ul>\n<p>We have a diverse team with a variety of skill sets, many have a technical background, a proven track record in B2B client-facing roles, and prior experience owning the technical implementation of solutions to the government.</p>\n<p>Must haves include an active TS/SCI clearance, 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions, a track record of structured, analytics-driven problem solving, excellent verbal and written communication skills, and willingness to be onsite with customers 4+ days per week in the Suffolk, VA area with occasional travel (less than 25%) to Scale&#39;s DC office.</p>\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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>\n<p>You&#39;ll also receive benefits including comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>","enriched_at":1777997176643},{"id":"job_6d3b290b-7dd","title":"Engagement Manager, Public Sector","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4692188005","location":"Washington, DC","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We&#39;re hiring an engagement manager to lead and coordinate delivery of agentic workflows for a national security customer. As an engagement manager on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience.</p>\n<p>This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness , and who thrives in fast-moving, ambiguous, and mission-driven environments.</p>\n<p>Key responsibilities include:</p>\n<h4>Managing Customer Relationships</h4>\n<p>Manage customer relationships from the executive to the end user.</p>\n<h4>Scoping Agentic Workflow Use Cases</h4>\n<p>Work alongside customers to scope agentic workflow use cases that Scale&#39;s engineering team will build and you will ultimately refine.</p>\n<h4>Leading Cross-Functional Project Teams</h4>\n<p>Lead or support a cross-functional project team to deliver on and exceed the customer&#39;s AI/ML objectives.</p>\n<h4>Identifying Customer Needs</h4>\n<p>Lead with a &#39;whatever-it-takes&#39; mentality, proactively identifying customer needs and operator pain points to ensure customer success.</p>\n<h4>Onboarding and Implementation</h4>\n<p>Oversee onboarding and successful implementation of customer accounts.</p>\n<p>We have a diverse team with a variety of skill sets, many having a technical background, a proven track record in B2B client-facing roles, and prior experience owning the technical implementation of solutions to the government.</p>\n<p>Must-haves include:</p>\n<ul>\n<li>An active TS/SCI clearance</li>\n<li>3+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions</li>\n<li>A track record of structured, analytics-driven problem solving</li>\n<li>Excellent verbal and written communication skills</li>\n<li>Willingness to be onsite with customers up to 4 days per week in the DMV area and/or prepared to travel a minimum of 25%</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in the location of Washington DC is $166,400-$249,000 USD.</p>","enriched_at":1777997158448},{"id":"job_9ed70f02-633","title":"National Security Hackathon 2026 - General Interest","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4687588005","location":"San Francisco, CA; New York, NY; Washington, DC","job_type":"full-time","experience_level":null,"work_arrangement":null,"category":"Engineering","description":"<p>We&#39;re looking for talented individuals who attended the National Security Hackathon and connected with our team. As a member of our team, you&#39;ll work on developing reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p>At Scale AI, we&#39;re committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We&#39;re also committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.</p>\n<p>If you&#39;re excited about the problems we&#39;re tackling, feel free to share your information here. A member of our team will reach out if there&#39;s a strong fit with one of our open opportunities. And even if the timing isn&#39;t right today, we&#39;d love to stay connected.</p>\n<p>In the meantime, you can learn more about our work at scale.com.</p>","enriched_at":1777561556378},{"id":"job_354a19bc-9ec","title":"Software Engineer (Backend), Enterprise","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4630032005","location":"Budapest, Hungary","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>At Scale AI, we&#39;re not just building AI tools,we&#39;re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises.</p>\n<p>We&#39;re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you&#39;ll build the core infrastructure that powers AI products for some of the world&#39;s largest enterprises,designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.</p>\n<p>This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you&#39;re excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.</p>\n<p>At Scale, we don&#39;t just follow AI advancements , we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale&#39;s and customers&#39; infrastructure.</li>\n<li>Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.</li>\n<li>Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.</li>\n<li>Optimize backend performance for latency, throughput, and cost,ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.</li>\n<li>Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.</li>\n<li>Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.</li>\n<li>Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.</li>\n</ul>\n<h4>Ideal Candidate</h4>\n<ul>\n<li>4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.</li>\n<li>Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.</li>\n<li>Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.</li>\n<li>Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.</li>\n<li>Hands-on experience with GenAI applications, model integration, or AI agent systems,understanding how to deploy, evaluate, and scale AI workloads in production.</li>\n<li>Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.</li>\n<li>Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.</li>\n</ul>\n<p>Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.</p>","enriched_at":1777035849662},{"id":"job_3e7a388c-26b","title":"Engagement Manager (Hawaii), Public Sector","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4687384005","location":"Honolulu, HI","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>We&#39;re hiring an engagement manager to lead and coordinate delivery of agentic workflows for a national security customer. As an engagement manager on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience.</p>\n<p>You will:</p>\n<ul>\n<li>Manage customer relationships from the executive to the end user</li>\n<li>Work alongside customers to scope agentic workflow use cases that Scale&#39;s engineering team will build and you will ultimately refine</li>\n<li>Lead a cross-functional project team to deliver on and exceed the customer&#39;s AI/ML objectives</li>\n<li>Lead with a &#39;whatever-it-takes&#39; mentality, proactively identifying customer needs and operator pain points to ensure customer success</li>\n<li>Oversee onboarding and successful implementation of customer accounts</li>\n</ul>\n<p>Must haves:</p>\n<ul>\n<li>An active TS/SCI clearance</li>\n<li>5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions</li>\n<li>A track record of structured, analytics-driven problem solving</li>\n<li>Excellent verbal and written communication skills</li>\n<li>Willingness to be onsite with customers in locations throughout the Oahu area 4 days per week and able to travel at least 25% of the time (as needed)</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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>","enriched_at":1777035815108},{"id":"job_0b5f056b-3e6","title":"Product Manager, Data Engine","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4670064005","location":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing &#39;n&#39; models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems.</p>\n<p>You will sit at the centre of our transition from a data labeling leader to a full-stack AI partner. You will architect the vision for our ML Ops tooling, building a seamless &#39;foundational engine&#39; that supports data management, curation, model development, and model evaluation for internal and external Machine Learning Teams.</p>\n<p>As a Product Manager, you will:</p>\n<ul>\n<li>Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the &#39;ground truth&#39; foundation for building, evaluating, and deploying AI systems.</li>\n</ul>\n<ul>\n<li>Bridge Custom &amp; Scale: Support diverse customer profiles,from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.</li>\n</ul>\n<ul>\n<li>Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&amp;E).</li>\n</ul>\n<ul>\n<li>Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.</li>\n</ul>\n<p>Ideally, you would have:</p>\n<ul>\n<li>Technical by Core: A background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.</li>\n</ul>\n<ul>\n<li>ML/CV Experience: Experience in Computer Vision or ML Ops. You understand the lifecycle of a model,from data acquisition to Test &amp; Evaluation.</li>\n</ul>\n<ul>\n<li>Grit: A &#39;whatever-it-takes&#39; drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.</li>\n</ul>\n<ul>\n<li>Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.</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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.</p>","enriched_at":1777029971226},{"id":"job_40818a5d-8a5","title":"Engineering Manager, AgentOps","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4625271005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Scale AI, we&#39;re accelerating the development of AI applications. Our mission is to provide the high-quality data and full-stack technologies that power the world&#39;s leading models. We&#39;re expanding our team to accelerate the development of AI applications.</p>\n<p>As an Engineering Manager, AgentOps, you will lead the engineering team and drive technical delivery. You will be responsible for managing the engineering team, driving technical delivery, and influencing the culture, values, and processes of a growing engineering team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Manage the engineering team and drive technical delivery</li>\n<li>Comfortable working cross-functionally, whether that be internal or external customers</li>\n<li>Work across the entire product lifecycle from conceptualization through production</li>\n<li>Build features end-to-end: back-end, system design, debugging, and testing</li>\n<li>Deliver experiments at a high velocity and level of quality to engage our customers</li>\n<li>Influence the culture, values, and processes of a growing engineering team</li>\n<li>Inspire and mentor engineers</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred</li>\n<li>Proven success in leading, managing, and developing high-performing engineering teams</li>\n<li>Expertise in identifying product engagement patterns and trends for large-scale consumer products</li>\n<li>Track record of shipping high-quality products and features at scale</li>\n<li>Desire to work in a very fast-paced environment</li>\n<li>Ability to turn business and product ideas into engineering solutions</li>\n<li>Excellent problem-solving skills, and be able to work independently or as part of a team.</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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. 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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</p>","enriched_at":1777029960443},{"id":"job_a3618001-1b4","title":"GTM Architect","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4662232005","location":"San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Sales","description":"<p>The GTM Architect, Enterprise will report to the Head of Enterprise GTM and will own the operating systems, measurement, and engagement model that power Scale AI&#39;s enterprise revenue motion.</p>\n<p>This role is responsible for designing and running the enterprise GTM architecture across RevOps, sales performance, and cross-functional execution, ensuring Scale&#39;s largest and most strategic accounts are engaged with rigor, consistency, and impact.</p>\n<p>The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts, how performance is measured, and how teams operate day-to-day to drive predictable growth. Over time, this role will have the opportunity to build and lead a GTM / RevOps team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and evolve Scale&#39;s enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards</li>\n</ul>\n<ul>\n<li>Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth</li>\n</ul>\n<ul>\n<li>Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity</li>\n</ul>\n<ul>\n<li>Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews</li>\n</ul>\n<ul>\n<li>Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting</li>\n</ul>\n<ul>\n<li>Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility</li>\n</ul>\n<ul>\n<li>Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged</li>\n</ul>\n<ul>\n<li>Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution</li>\n</ul>\n<ul>\n<li>Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting</li>\n</ul>\n<ul>\n<li>Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions</li>\n</ul>\n<p>Ideally, You Will Have:</p>\n<ul>\n<li>8–12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments</li>\n</ul>\n<ul>\n<li>Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies</li>\n</ul>\n<ul>\n<li>Proven ownership of sales systems, forecasting, and performance measurement at scale</li>\n</ul>\n<ul>\n<li>Hands-on experience designing and managing enterprise sales compensation plans and reporting</li>\n</ul>\n<ul>\n<li>Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences</li>\n</ul>\n<ul>\n<li>A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale</li>\n</ul>\n<ul>\n<li>Comfort influencing senior sales leaders and executives without direct authority</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, including experience building executive-level materials and dashboards</li>\n</ul>\n<ul>\n<li>Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools)</li>\n</ul>\n<ul>\n<li>High attention to detail paired with the ability to operate at a strategic altitude</li>\n</ul>\n<ul>\n<li>Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time</li>\n</ul>\n<ul>\n<li>Technical curiosity or experience working alongside technical products and teams; familiarity with AI, ML, or data platforms is 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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Please reference the job posting&#39;s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $176,000-$220,000 USD</p>","enriched_at":1776528120236}],"category_normalised":[{"category":"engineering","count":32},{"category":"finance","count":5},{"category":"sales","count":2},{"category":"operations","count":2},{"category":"design","count":1},{"category":"marketing","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":34},{"week_start":"2026-04-20","count":4},{"week_start":"2026-04-27","count":1},{"week_start":"2026-05-04","count":4}],"trend":"stable","wow_pct":300},"momentum":{"recent_14d":9,"prior_14d":34,"growth_pct":-74,"classification":"decelerating"},"salary_vs_industry":{"company_median":207700,"industry_median":null,"percentile":null,"sample_size":8,"by_region":[{"region":"United States","company_median":207700,"industry_median":null,"sample":8}],"transparency_pct":19,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":43,"industry_total":43,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.25,"skill_weighted_score":0.279,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"Software Engineering","count":3,"score":0.356},{"skill":"Python","count":7,"score":0.309},{"skill":"AWS","count":3,"score":0.305},{"skill":"React","count":3,"score":0.288},{"skill":"TypeScript","count":5,"score":0.288},{"skill":"Artificial Intelligence","count":3,"score":0.274},{"skill":"Machine Learning","count":3,"score":0.264},{"skill":"Project Management","count":3,"score":0.103}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":35,"share_pct":81.4},{"region":"Latin America","count":4,"share_pct":9.3},{"region":"EU","count":2,"share_pct":4.7},{"region":"Middle East","count":1,"share_pct":2.3},{"region":"United Kingdom","count":1,"share_pct":2.3}],"emerging":[{"region":"United States","recent_30d":35,"prior_30d":0,"growth_pct":100},{"region":"Latin America","recent_30d":4,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":1,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Head of Finance Systems & Automation","location":"San Francisco, CA","posted_at":"2026-04-18"}]},"posting_dynamics":{"median_days_open":null,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":7}}}}