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As our operations continue to expand, this role will be critical in identifying root causes, implementing durable fixes, and driving measurable improvements in key performance metrics.</p>\n<p>You will act as both a systems owner and escalation authority, ensuring support workflows are scalable, efficient, and aligned with global standards while adapting to local operational needs. You will serve as the bridge between frontline execution and system design, ensuring consistency, stability, and continuous improvement across regional operations.</p>\n<p>You will be part of a highly collaborative and impact-driven team, working closely with Team Leads, SMEs, Product, Engineering, and Operations stakeholders. This role is ideal for someone who thrives in ambiguity, enjoys solving complex operational challenges, and is relentless in driving high-quality outcomes at scale.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Identify recurring issue patterns and structural inefficiencies across the region</li>\n<li>Lead retrospectives on operational breakdowns and implement durable, system-level fixes</li>\n<li>Act as the escalation partner for complex and high-risk regional cases</li>\n<li>Define and drive regional KPI improvements across SLA, CSAT, backlog health, and escalation rates</li>\n<li>Track and measure the impact of operational changes and interventions</li>\n<li>Influence SOPs, macros, and documentation to improve clarity and reduce ambiguity</li>\n<li>Partner with Enablement to build scalable regional training programs</li>\n<li>Act as a regional training lead to reinforce workflows, policies, and quality standards</li>\n<li>Collaborate with Product, Engineering, and Operations to drive tooling and workflow improvements</li>\n<li>Translate frontline insights into clear, actionable requirements for system enhancements</li>\n<li>Identify risks within workflows and implement safeguards to improve consistency and reliability</li>\n<li>Strengthen auditability and operational defensibility across the region</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Experience in operations, program management, or process improvement roles in high-volume environments</li>\n<li>Strong analytical and problem-solving skills with a systems-thinking mindset</li>\n<li>Experience leading cross-functional initiatives and driving measurable outcomes</li>\n<li>Ability to identify root causes and implement scalable, long-term solutions</li>\n<li>Strong communication skills across technical and non-technical stakeholders</li>\n<li>Experience working with KPIs such as SLA, CSAT, backlog, and escalation metrics</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience in support operations, trust &amp; safety, or platform operations</li>\n<li>Familiarity with workflow tools (e.g., Zendesk or similar systems)</li>\n<li>Experience building SOPs, training programs, or documentation frameworks</li>\n<li>Experience working in regional or global operations teams</li>\n</ul>","enriched_at":1777997230517},{"id":"job_129eb42b-a2a","title":"Industrial Security Specialist","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4692318005","location":"St. Louis, MO; Washington, DC","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We&#39;re looking for an Industrial Security Specialist who will play a vital role in supporting personnel security, physical security, and program support. The ideal candidate brings strategic and operational experience, a security-first mindset, and a willingness to engage directly with customers, employees, and stakeholders. If you&#39;re excited by ensuring the integrity and protection of national security, we invite you to apply.</p>\n<p>This Industrial Security Specialist will report to the Industrial Security team with close collaboration with GRC, Workplace, and cross-functional teams to support the Public Sector security strategy for Scale. You will:</p>\n<ul>\n<li>Balance the timelines and requirements of US Government contracts while supporting Scale AI Public Sector efforts, accredited facilities, and sensitive R&amp;D initiatives</li>\n<li>Assist in the development and execution of security education and awareness programs</li>\n<li>Conduct audits and inspections to ensure compliance with DoD and company policies</li>\n<li>Support all aspects of personnel security management in working directly with government partners to ensure compliance</li>\n<li>Initiate, review, and submit electronic background investigations to DCSA</li>\n<li>Responsible for mandatory USG reporting as it relates to our personnel, facility, and insider threat programs</li>\n<li>Assists in the protection of government, intellectual, third-party, and company information from unauthorized disclosures</li>\n<li>Conduct security briefings, debriefings, and annual refresher training for cleared employees</li>\n<li>Ensure frameworks are met for NISPOM, ICDs, SAPs, OPSEC, Insider Threat, and continuous evaluation programs</li>\n<li>Prepare, send, and receive visitor certifications</li>\n<li>Review performance work statements (PWS) or Statements of Work (SOW) for contracts and ensure properly executed DD Form 254s</li>\n<li>Coordinate incident response and reporting for security violations or concerns</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Active U.S. DoD Top Secret, and willingness to obtain a TS/SCI</li>\n<li>Familiarity with USG information systems, such as DISS, NBIS, NISS, SWFT, e-App</li>\n<li>Experience assisting with the implementation and maintenance of a relevant industrial security program</li>\n<li>Must be able to support work 2-3 days a week from the office</li>\n<li>Knowledge of industrial security procedures (NISPOM, ICDs, other DoD/IC regulations and procedures)</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Excellent written and verbal communication-able to align with security strategy, IT, and executive teams</li>\n<li>Adaptability and Learning Agility: Willingness to quickly grasp and apply new concepts and stay up-to-date with emerging trends in industrial security</li>\n<li>Willingness to work in a dynamic, high-growth company where speed, adaptability, and judgment are essential</li>\n<li>FSO Program Management for Possessing Facilities certification</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>The base salary range for this full-time position in the location of Washington DC/Hawaii is: $108,000-$135,000 USD</p>\n<p>The base salary range for this full-time position in the location of St. Louis/Suffolk is: $89,600-$112,000 USD</p>","enriched_at":1777997198436},{"id":"job_3a56fe3d-150","title":"Director of Product Management, Forward Deployed & Strategy","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4669229005","location":"New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>Lead a high-stakes team of Product Managers responsible for successful delivery and integration of Scale products into complex customer environments.</p>\n<p>Own the feedback loop that converts bespoke field wins into scalable, repeatable product strategy, partnering deeply with Sales/GTM and EPD (Eng/Product/Design).</p>\n<p>Hire, mentor, and deploy PMs across strategic accounts (e.g., Fortune 100, government).</p>\n<p>Identify patterns across deployments; decide which bespoke solutions should move from custom to core product.</p>\n<p>Primary product partner to Sales/GTM leadership to align roadmap with market demand.</p>\n<p>Provide strategic + technical oversight to unblock high-priority deployments in “red zones.”</p>\n<p>Champion the voice of the field within internal EPD teams.</p>\n<p>Ideal Background:</p>\n<p>10+ years of product leadership, including 4+ years managing Product Management teams.</p>\n<p>Experience in forward-deployed models or top-tier technical consulting / implementation.</p>\n<p>High technical IQ: comfort with APIs, data pipelines, SQL; understands how data quality affects model performance.</p>\n<p>Extreme ownership + systems thinking; navigates complex stakeholder landscapes from engineers to C-suite.</p>","enriched_at":1777561546520},{"id":"job_d86069aa-6de","title":"Senior AI Infrastructure Engineer - Training Platform","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4689751005","location":"San Francisco, CA; Seattle, WA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>As a Senior AI Infrastructure Engineer on the Machine Learning Infrastructure team, you will build the &#39;Operating System&#39; for large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world&#39;s most advanced models.</p>\n<p>The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.</li>\n<li>Design and implement scheduling primitives to optimize the lifecycle of training jobs.</li>\n<li>Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures.</li>\n<li>Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.</li>\n<li>Work closely with Finance and Procurement teams to drive our capacity planning process.</li>\n<li>Participate in our team&#39;s on call process to ensure the availability of our services.</li>\n<li>Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).</li>\n<li>Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++).</li>\n<li>Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.</li>\n<li>Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.</li>\n<li>Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput.</li>\n<li>Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.</li>\n<li>Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).</li>\n<li>Proven ability to solve complex problems and work independently in fast-moving environments.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience with distributed training techniques such as DeepSpeed, FSDP, etc.</li>\n<li>Experience with the NVIDIA software and hardware stack (CUDA, NCCL).</li>\n<li>Experience with PyTorch.</li>\n<li>Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning.</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>","enriched_at":1777471521576},{"id":"job_c2e8e716-70c","title":"Principal Solutions Engineer, Enterprise","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4689909005","location":"New York, NY; San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>As a Principal Solutions Engineer at Scale, you will play a critical role in powering the next generation of AI applications across the enterprise. You will operate as a senior technical leader on the front lines, shaping how the world&#39;s most innovative companies adopt, deploy, and scale AI with Scale.</p>\n<p>You will own technical strategy and execution for the company&#39;s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the &#39;technical win&#39;. You will serve as a trusted advisor to executive stakeholders, guiding long-term AI/LLM adoption strategies.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Architecting and leading end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements</li>\n<li>Driving cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges</li>\n<li>Defining and shaping large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions</li>\n<li>Leading high-impact customer engagements, including executive presentations, technical deep dives, and workshops</li>\n</ul>\n<p>Ideal candidates will have a deep technical background with significant experience in customer-facing engineering roles at enterprise scale. They will have a proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises.</p>\n<p>Additionally, they will have strong systems thinking and architecture experience across cloud, data, and AI/ML systems, hands-on experience with programming languages such as Python, Java, or similar, and the ability to prototype and validate solutions when needed.</p>\n<p>Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility, is also essential. Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams is required.</p>\n<p>Exceptional communication skills, with the ability to translate between business, product, and technical audiences, are necessary. A high degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments is also expected.</p>\n<p>Nice to have qualifications include deep experience with Generative AI/LLM applications in enterprise environments, background in forward-deployed engineering or building production-grade ML systems, and experience in regulated industries such as financial services, insurance, or healthcare.</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>Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. 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>","enriched_at":1777471501220},{"id":"job_3e3bc10b-876","title":"Enterprise Account Executive (Healthcare & Life Sciences)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4689919005","location":"New York, NY; San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"<p>You will act as a strategic partner to clinical, operational, and technical leaders, helping them transform core workflows such as clinical documentation, prior authorization, revenue cycle, pharmacovigilance, clinical trials, medical affairs, and patient engagement through AI agents.</p>\n<p>This is a highly consultative, technical enterprise sales role requiring deep domain fluency, strong executive presence, and the ability to navigate regulatory, compliance, and multi-stakeholder complexity.</p>\n<p>You will own the full customer lifecycle - from origination through close, deployment, and expansion - while quarterbacking cross-functional teams across Solutions Engineering, Product, Research, and Delivery to land and scale high-impact AI programs.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Selling agentic AI solutions by mapping Scale&#39;s capabilities to high-impact workflows</li>\n<li>Building trusted relationships with executive stakeholders</li>\n<li>Developing and executing multi-threaded account strategies</li>\n<li>Leading complex deal cycles</li>\n<li>Navigating healthcare-specific regulatory and compliance requirements</li>\n</ul>\n<p>Ideal candidates will have 8-12+ years of enterprise sales experience, with significant focus on healthcare or life sciences, and a proven track record of closing and expanding large, complex, multi-million dollar deals in regulated environments.</p>\n<p>Compensation packages at Scale 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.</p>\n<p>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $200,000-$230,000 USD</p>","enriched_at":1777471490997},{"id":"job_12af9a5e-d72","title":"Enterprise Account Executive (Financial Services)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4689917005","location":"New York, NY; San Francisco, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Sales","description":"<p>You will operate as a strategic partner to senior executives across the business, technology, and risk organisations, helping them reimagine core workflows through AI agents. This is a highly consultative, technical enterprise sales role requiring deep domain fluency, executive presence, and the ability to navigate regulatory, security, and multi-stakeholder complexity.</p>\n<p>You will own the full customer lifecycle - from origination through close, deployment, and expansion - while acting as the quarterback across Solutions Engineering, Product, Research, and Delivery teams to land and scale high-impact AI programs.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Owning and expanding relationships with the largest financial services institutions, focusing on high-impact, multi-year AI transformations</li>\n<li>Selling agentic AI solutions by mapping Scale&#39;s capabilities to mission-critical workflows</li>\n<li>Building trusted relationships with executive stakeholders and guiding enterprise AI strategy</li>\n<li>Developing and executing multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption</li>\n<li>Leading complex deal cycles, including business case development, ROI modelling, and mutual close plans</li>\n<li>Partnering deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production deployments</li>\n<li>Navigating regulatory, security, and procurement processes unique to financial services environments</li>\n<li>Acting as the voice of the customer internally, informing product roadmap, agent design, and vertical-specific solutions</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>8–12+ years of enterprise sales experience, with significant focus on financial services</li>\n<li>Proven track record of closing and expanding large, complex, multi-million dollar enterprise deals within highly regulated environments</li>\n<li>Experience selling AI/ML, data platforms, or workflow automation technologies</li>\n<li>Deep understanding of financial services workflows and how technology transforms them</li>\n<li>Demonstrated success engaging and influencing executive stakeholders</li>\n</ul>\n<p>Nice to haves include experience selling agentic AI, LLM platforms, or automation solutions into financial services, background working with or alongside risk, compliance, or data organisations, familiarity with regulatory considerations, and prior experience in high-growth or emerging technology environments.</p>\n<p>Compensation packages at Scale 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. Employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>","enriched_at":1777471476649},{"id":"job_9f638c29-3a2","title":"Product Manager, Public Sector GenAI Test & Evaluation (T&E)","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4687591005","location":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"<p>At Scale, we&#39;re looking for a Product Manager to lead the development of our evaluation capabilities for public sector GenAI applications. As a high-horsepower technical leader, you&#39;ll define the vision and roadmap for our evaluation tech stack, traversing multiple engineering organisations across Scale. You&#39;ll identify bottlenecks, distill technical friction into actionable plans, and drive execution.</p>\n<p>Key objectives include refining the tech stack that allows ML teams to hillclimb, and surfacing critical performance information to stakeholders. You&#39;ll work across Scale&#39;s commercial and public sector teams to define requirements, ensuring our evaluation services are robust enough for the most demanding government use cases.</p>\n<p>Minimum Qualifications:</p>\n<ul>\n<li>3+ years of experience in software engineering, systems architecture, or highly technical program management</li>\n<li>Proven experience designing, owning the roadmap for, or operating the infrastructure required to continuously measure, improve, and show the performance of AI applications</li>\n<li>Demonstrated experience taking a vaguely defined problem and delivering a technical roadmap, resource requirements, and measurable success metrics within a narrow time window</li>\n<li>Proven track record of taking a project from &#39;stalled/undefined&#39; to &#39;shipped&#39; in a high-pressure environment</li>\n<li>Experience using technical project management frameworks to provide consistent weekly reporting on delivery velocity and blockers to executive stakeholders</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li>Active Secret, Top Secret, or TS/SCI clearance</li>\n<li>Practical experience developing or evaluating features built specifically on LLMs, RAG, or autonomous agent workflows</li>\n<li>Advanced degree in Computer Science, Engineering, or a related field</li>\n<li>2+ years of experience working with DoD, IC, or Civil agencies on mission-critical software deployments</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>\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":1777122218822},{"id":"job_e8f1c799-71a","title":"Engagement Manager","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4687050005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Engineering","description":"<p>Scale&#39;s Generative AI business is experiencing rapid growth and expansion. As an Engagement Manager, you will be the primary owner of customer relationships, managing ongoing projects and driving end-to-end engagements from new projects and pilots. You will work cross-functionally to ensure Scale products and services are delivered consistently and on-time.</p>\n<p>Your key responsibilities will include:</p>\n<ul>\n<li>Owning end-to-end execution and delivery for assigned customer projects, from kickoff through completion and quality feedback</li>\n<li>Managing customer communication, action items, and follow-ups across multiple concurrent projects</li>\n<li>Monitoring delivery against SLAs, budget, and quality standards, proactively identifying risks and escalating blockers with proposed solutions</li>\n<li>Reviewing, tracking, and improving operational performances</li>\n<li>Partnering cross-functionally with operations and planning teams to improve delivery efficiency and drive better outcomes for customers</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>3 to 5 years of work experience, preferably in consulting, technical program management, or project coordination</li>\n<li>A track record of managing multiple concurrent workstreams with strong attention to detail and follow-through</li>\n<li>Experience in B2B client-facing roles where execution and delivery were core responsibilities</li>\n<li>An action-oriented mindset that balances creative problem-solving with the scrappiness to ultimately deliver results</li>\n<li>A technical background (education or professional experience with CS, Engineering, Economics, Mathematics, or another STEM field)</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Familiarity with model and AI training workflows</li>\n<li>Work experience in a high-growth company environment, including working cross-functionally and wearing multiple hats</li>\n</ul>","enriched_at":1777035805036},{"id":"job_390a756a-986","title":"Engagement Management Lead","source_url":"https://job-boards.greenhouse.io/scaleai/jobs/4687052005","location":"San Francisco, CA; New York, NY","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>Scale&#39;s Generative AI business is experiencing significant growth and expansion. As an Engagement Management Lead, you will play a critical role in driving customer success and growth. You will operate at the centre of Scale&#39;s most strategic customer relationships, serving as both a trusted operator and thought partner to leading AI research teams.</p>\n<p>Your primary responsibility will be to build and maintain deep, trust-based relationships with customer researchers and leads, serving as a thought partner throughout the project lifecycle. You will navigate difficult customer conversations around pricing, quality, and delivery expectations with confidence and clarity.</p>\n<p>To succeed in this role, you will need to identify and develop expansion opportunities through close customer engagement and a strong track record of execution. You will also need to own a portfolio of complex, strategic projects with full accountability for delivery, quality, customer sentiment, and commercial outcomes.</p>\n<p>Ideal candidates will have 5+ years of work experience, with experience in consulting or as a technical product or program management role. A proven track record in B2B client-facing roles, including building and expanding relationships and navigating complex customer dynamics, is also essential.</p>\n<p>Nice-to-have qualifications include a graduate degree (PhD, MS) or research experience in a STEM field, experience at a frontier lab or company developing foundational models, or in a technical role at a high-growth AI company.</p>\n<p>In this role, you will receive a competitive compensation package, including base salary, equity, and benefits. The salary range for this position is $192,800-$241,000 USD per year.</p>","enriched_at":1777035795220}],"category_normalised":[{"category":"engineering","count":97},{"category":"sales","count":5},{"category":"operations","count":3},{"category":"legal","count":3},{"category":"marketing","count":2},{"category":"hr","count":2},{"category":"finance","count":2},{"category":"it","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":103},{"week_start":"2026-04-20","count":5},{"week_start":"2026-04-27","count":5},{"week_start":"2026-05-04","count":2}],"trend":"stable","wow_pct":-60},"momentum":{"recent_14d":12,"prior_14d":103,"growth_pct":-88,"classification":"decelerating"},"salary_vs_industry":{"company_median":208750,"industry_median":null,"percentile":null,"sample_size":10,"by_region":[{"region":"United States","company_median":208750,"industry_median":null,"sample":10}],"transparency_pct":9,"industry_transparency_pct":0,"transparency_warning":true},"market_share":{"company_jobs":115,"industry_total":115,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.305,"skill_weighted_score":0.442,"top_exposed_titles":[{"title":"Solutions Engineer, Enterprise","count":2,"score":0.199},{"title":"Software Engineer, Robotics","count":2,"score":0.288},{"title":"Senior Full-Stack Software Engineer, (Forward Deployed), GPS","count":2,"score":0.288},{"title":"Product Manager of AI Applications, Global Public Sector","count":2,"score":0.32}],"top_exposed_skills":[{"skill":"Cloud Technology Stack","count":3,"score":0.46},{"skill":"Data-Driven Approach","count":3,"score":0.46},{"skill":"State Of The Art LLMs","count":3,"score":0.46},{"skill":"TensorFlow","count":3,"score":0.46},{"skill":"Post-training Methods","count":3,"score":0.46},{"skill":"Deep Learning","count":5,"score":0.436},{"skill":"PyTorch","count":7,"score":0.436},{"skill":"Natural Language Processing","count":4,"score":0.43},{"skill":"NodeJS","count":3,"score":0.427},{"skill":"Software Engineering Best Practices","count":4,"score":0.417}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":87,"share_pct":75.7},{"region":"Middle East","count":12,"share_pct":10.4},{"region":"United Kingdom","count":9,"share_pct":7.8},{"region":"Latin America","count":6,"share_pct":5.2},{"region":"India","count":1,"share_pct":0.9}],"emerging":[{"region":"United States","recent_30d":87,"prior_30d":0,"growth_pct":100},{"region":"Middle East","recent_30d":12,"prior_30d":0,"growth_pct":100},{"region":"United Kingdom","recent_30d":9,"prior_30d":0,"growth_pct":100},{"region":"Latin America","recent_30d":6,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":5,"exec_prior_90d_avg":0,"exec_growth_pct":100,"notable_exec_hires":[{"title":"Director of Product Management, Forward Deployed & Strategy","location":"New York, NY","posted_at":"2026-04-30"},{"title":"Director of Governance, Risk & Compliance","location":"San Francisco, CA","posted_at":"2026-04-18"},{"title":"Director, Enterprise Machine Learning & Research","location":"San Francisco, CA; New York, NY","posted_at":"2026-04-18"},{"title":"Director, Business Systems","location":"San Francisco, CA","posted_at":"2026-04-18"},{"title":"Head of Legal Operations & Chief of Staff","location":"San Francisco, CA","posted_at":"2026-04-18"}]},"posting_dynamics":{"median_days_open":10,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":15}}}}