Ai Infrastructure Systems Engineer Jobs

About the Role Together AI is looking for a Commercial Counsel to support the deals that drive our growth. You’ll work alongside the Sales, Partnerships, Finance, Product, and Security teams as the legal partner who helps each of them move quickly while keeping risk in view. What we sell sits at the core of our customers’ own products, so our commercial deals call for a real understanding of how the technology works. The terms we agree to with customers and partners shape our relationships and our business for years. This role suits a lawyer who wants to be a true business partner to a fast-moving sales organization, rather than working within a narrow contracts lane. Responsibilities Sales Serve as the legal point of contact for Sales across enterprise customer deals, managing commercial agreements including master agreements, order forms, data processing terms, security exhibits, and NDAs. Negotiate customer contracts end to end, partnering closely with Sales, Security, Product, and Finance to resolve issues quickly and keep deals moving through the pipeline. Advise Sales on risk, contract positions, and fallback terms, and manage escalations on non-standard requests such as custom SLAs, data protection obligations, and liability and indemnity terms. Build the templates, playbooks, and scalable workflows that make Sales deals repeatable, including standard forms, negotiation playbooks, and clear escalation paths. Partnerships Structure and negotiate go-to-market and partnership deals, including collaboration, reseller, licensing, and co-sell arrangements. Work with Sales, Partnerships, and Product to align partner terms with business goals, customer commitments, and company risk posture. Develop standard partnership templates and default negotiating positions so routine partner deals can move quickly and consistently. Requirements A JD and an active bar license in good standing At least 5 years in commercial and technology transactions, including substantial in-ho

About the AI Security Institute The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We’re in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We’re here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. Expression of Interest – Chem Bio AISI’s Chem Bio team is open to expressions of interest from talented research engineers and scientists of all levels of seniority who want to work at the forefront of frontier AI safety and security, but do not see a role listed that matches their skills and experience. Our talent team will reach out should a role arise that may be a good match. Team Description The Chem Bio team conducts cutting-edge research to understand, evaluate and mitigate chemical and biological risks associated with frontier AI systems. We assess the extent to which advanced models may enable harmful capabilities, develop methods for evaluating these risks rigorously, and share our findings directly with leading AI companies, UK officials and allied governments to inform deployment, research and policy decisions. Our work spans a range of technical and scientific challenges, including capability elicitation, model evaluations, benchmarking, threat modelling, and the development of safeguards and monitoring approaches. We combine expertise from machine learning, chemistry, biology, biosecurity and related disciplines to better understand how frontier AI systems may affect the chemical and biological risk landscape. We work closely with partners across government, academia and industry, and collaborate with other technical teams across AISI to ensure ou

About the Role We are seeking a skilled GTM Engineer to join our team. In this role, you will architect an AI-native tech stack with seamless integrations and build a cohesive, automated engine to drive measurable revenue outcomes. As a builder and systems thinker, you will play a vital role in automating processes, maintaining data integrity, and turning GTM strategy into scalable systems. Responsibilities Architect the GTM Tech Stack: Build an AI native tech stack with seamless integrations. Centralize Data: Build a cohesive, automated engine that centralizes data in CRM and eventually data warehouse (Salesforce, Hubspot, Snowflake, Clay, Claude Cowork). Own Data Integrity: Build and maintain the data flows, enrichment logic, and sync architecture that keep our systems accurate, deduped, and trustworthy end-to-end. Turn Strategy into Systems: Partner with leadership to translate GTM strategy into automated playbooks, dynamic scoring models, and signal-based workflows that drive measurable revenue outcomes. Lead CPQ System Design: Lead system design for Salesforce CPQ, including product catalog architecture, pricing and discount rules, quote templates, and approval workflows. Optimize Conversions: Optimize quote-to-order conversion ensuring accurate data flow into downstream billing and ERP systems. Implement Governance: Implement governance on pricing, discounting, and quote approval thresholds to maintain margin and compliance integrity. Improve Deal Velocity: Improve deal velocity by streamlining approvals, leveraging Salesforce CPQ (Revenue Cloud). Integrate CLM Tools: Integrate CLM (e.g., Ironclad, Conga, or DocuSign CLM) with Salesforce to automate quote-to-contract and contract-to-order workflows. Automate Bottlenecks: Identify repetitive work across the GTM org - account research, CRM hygiene, post-call follow-ups - and replace it with intelligent automation using APIs, webhooks, and AI agents. Requirements Experience: Have 3–5+ years of experience operatin

About Us Gather AI is the Physical AI platform for logistics. We give the companies that run the world’s warehouses ground truth on every product and every movement, dock to dock. Our platform reads the warehouse floor through autonomous drones and cameras mounted on material handling equipment, then turns what it sees into intelligence and action. Facilities run safer and more accurately, with fewer ladders and fewer manual counts. If you want to do the defining design work for a new category in a vital industry, we’d like to meet you. About the Team Product at Gather AI sits at an unusual intersection: we build software for people who work on warehouse floors, not at desks. Our users are associates checking inventory on a tablet from the seat of a forklift, shift teams running drone workflows, field technicians troubleshooting on site, and facility leaders reading AI-generated insights in Sage. Design here is about more than pixels, though craft matters a lot. It starts with understanding how people work under pressure, and it ends with software that gets out of their way and looks as advanced as the technology behind it. About the Role Most design roles ask you to improve something that already exists. This one asks you to define what good looks like for a new category of product. You’ll be Gather AI’s first and only designer. You’ll own design end to end, from field research and information architecture to visual craft and working prototypes. Your work spans the apps floor teams use alongside our drones and MHE Vision systems, and Sage, our AI insights layer. The job is to help the product team ship products that solve real problems and happen to be very well designed, not to make screens for their own sake. You won’t design from assumptions. You’ll stand next to the people using our software and let what you see shape what you build. We’d love you near our Pittsburgh office, and we’ll seriously consider strong candidates anywhere in the US. Th

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! ABOUT THE ROLE We're looking for a manager to lead a team of researchers to focus on data evaluation, error analysis and data valuation methods to predict model performance. This team is responsible for showcasing the value and quality of Snorkel’s data for model training and evaluation, understanding where today's frontier models fall short, and turning that understanding into a point of view on what benchmarks and datasets these models will benefit from. You and your team will be responsible for Snorkel’s data design flywheel by analyzing model failures, finding capability and skill gaps in current models, suggesting the next benchmarks to invest in and then proving the value of this data for our customers. MAIN RESPONSIBILITIES Own a multi-quarter roadmap centered on novel evaluation, error analysis, and data valuation techniques Synthesize and share trends from model-failure analysis and benchmarking into recommendations on the datasets the community should focus on and the ones Snorkel should invest in — making this team a primary input to the company's data strategy. Focus on data valuation techniques that quantify how Snorkel data meaningfully improves model performance Lead and grow a team of researchers, setting a high bar for quality, rigor and speed of execution Act as the primary bridge between the team's findings and Product, GTM, and our customers PREFERRED QUALIFICATIONS 7+ years in applied AI,

Subject Matter Expert Role Description Engagement Type: Part-time (Hourly) — Work as many or as few hours as you'd like, with the flexibility to set your own schedule based on your availability. Overview The Subject Matter Expert is a specialized role focused exclusively on quality evaluation and standards definition within assigned projects. This role is designed for subject-matter experts who provide high-value insights through audits, quality frameworks, and performance analysis. The Subject Matter Expert does not engage in contributor management, real-time support, or operational task coordination. Instead, the role centers on assessing output quality, identifying systemic issues, and recommending improvements to ensure high standards are consistently met. Key Responsibilities Quality Audits & Evaluation Conduct structured audits of task outputs to evaluate accuracy, consistency, and adherence to project guidelines. Apply domain expertise to assess nuanced or complex work requiring specialized knowledge. Identify patterns of quality issues and flag systemic gaps impacting output standards. Quality Standards & Benchmarking Define and refine quality benchmarks, scoring rubrics, and evaluation criteria based on project needs. Contribute to the development of gold standards and reference materials for high-quality outputs. Ensure quality frameworks reflect domain-specific rigor where applicable. Analysis & Insights Analyze audit results to generate actionable insights on quality trends and performance gaps. Provide structured reports with clear recommendations to improve overall output quality. Partner with internal stakeholders to calibrate on quality expectations and scoring consistency. Process Improvement (Quality-Focused) Recommend improvements to workflows, guidelines, and evaluation processes based on audit findings. Support calibration efforts to ensure alignment across reviewers and quality stakeholders. Contribute to continuous improvement init

Scale's Red Team and Safety function stress-tests the most capable AI models in the world, and shapes how labs, governments, and enterprises deploy them. We are hiring a Technical Program Manager to own day-to-day partnerships with frontier model developers. This is a hands-on role for someone who is technically curious, comfortable with researchers, and operationally rigorous. You will partner closely with research, operations, and go-to-market. The team Red Team and Safety is a nimble function that stress-tests frontier AI. We partner with major model developers to generate adversarial data, run evaluations, and publish benchmarks across jailbreaks, prompt injection, agentic misuse, LLM-based cyber security, CBRN, political bias, and self-harm. Our work shapes how leading labs train their models and how governments and enterprises deploy them. You will: Own a portfolio of frontier-lab partnerships day-to-day. Run customer conversations, scope new engagements, and grow accounts from one-off projects into ongoing scope. Act as a credible subject-matter expert in customer conversations; explain adversarial methodology, vulnerability taxonomies, benchmark findings, and what they imply commercially, in language that lands with technical buyers. Partner with Enterprise and Public Sector account teams to qualify and close opportunities where safety, red teaming, or LLM-based cyber security are part of the deal. Coordinate delivery with research and operations leads. Make sure scope, capacity, and timelines line up before we commit, and unblock the team as engagements run. Contribute to public benchmark launches. Help shape the framing, the rollout, and the narrative we take to customers and the field. Feed signal back into the roadmap. Surface what customers are asking for, what is breaking, and what we should build next. Ideally, you would have: Working fluency in model behavior, adversarial ML, and AI safety, enough to hold a substantive conversatio

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About This Role We're looking for a Staff HR Business Partner to build and own the people strategy for Snorkel's Data as a Service (DaaS) organization. This role is hybrid ( 3 days/week in office) in San Francisco, CA . The DaaS org is a delivery-first team that has more than tripled in size over the last six months, with no signs of slowing. They deliver high-quality data operations and AI deployment outcomes for frontier labs and AI teams. This org has a unique composition: forward deployed engineers, technical and operations delivery managers, a supply team managing a workforce comprised of multiple worker types at scale, and others. The people challenges here require an HRBP who has seen this kind of complexity before, such as workforce planning across FTEs and contractors, building a high performance culture rooted in delivery outcomes, and keeping a geographically dispersed, operationally complex team connected to Snorkel's culture. You'll partner directly with our DaaS GM and leadership team, and you'll need to be as comfortable in the operational weeds as you are in strategic conversations. The ideal background is professional services, managed services

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Team Marketing at Snorkel is growing rapidly and anchored by high-ownership operators who lead independently, align cross-functionally, and consistently deliver outsized results. We partner across Sales, Product, Research, and the executive team to translate complex AI and data value into differentiated positioning, integrated programs, and field-ready enablement that accelerates growth. The culture is high standards, high autonomy, and high collaboration. About the Role Reporting to the Sr. Director of Product Marketing, the Product Marketing Manager, Frontier Labs will own the GTM execution for our frontier lab business. You will partner closely with Research, FDE, and frontier-facing sales teams to translate technical work into research-credible positioning, repeatable sales plays, and high-quality GTM programs that resonate with research and procurement leaders inside frontier labs. You will keep the frontier asset library (battlecards, technical one-pagers, decks, benchmark and eval narratives) sharp against a fast-moving market, and bring competitive and customer insight into every motion. This is a hands-on role for a product marketer who wants to operate at the frontier of AI alongside a world-class research and applied team. About You You are a product marketer with 5-8+ years of experience, including 2+ years on AI-native products, and a track record of delivering launches, enablement, and campaigns for technical buyers. You communic

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter. We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM 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. 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. You will: Manage customer relationships from the executive to the end user Work alongside customers to scope agentic workflow use cases that Scale’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's AI/ML objectives Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success Oversee onboarding and successful implementation of customer accounts We have a diverse team with a variety of skill sets, many have: 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 Must haves: An active TS/SCI clearance (Full Scope Polygraph is a nice to have) 3+ 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 communicat

The Enterprise Account Executive (Healthcare & Life Sciences) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic healthcare and life sciences customers. This role is focused on selling complex, agentic AI solutions - autonomous workflows powered by LLMs and human-in-the-loop systems - into health systems, payers, pharma, biotech, and digital health organizations. 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. 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. 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. You Will: Own and expand relationships with leading healthcare and life sciences organizations (providers, payers, pharma, biotech), focusing on multi-year, strategic AI initiatives Sell agentic AI solutions by mapping Scale’s capabilities to high-impact workflows (e.g., clinical documentation, prior auth, revenue cycle, patient ops, clinical trials, drug safety, medical review) Build trusted relationships with executive stakeholders (CIO, CTO, CMIO, Chief Data/AI Officer, Heads of Clinical Ops, R&D, Commercial) Develop and execute multi-threaded account strategies that drive net-new revenue, expansion, and long-term platform adoption Lead complex deal cycles, including ROI modeling, business case development, and mutual close plans across new business, renewals, and expansions Partner closely with Solu

The Enterprise Account Executive (Financial Services) will report to the Director of Enterprise GTM and own revenue growth across a portfolio of Scale AI’s most strategic financial services customers and prospects. This role is focused on selling complex, agentic AI solutions -autonomous workflows powered by LLMs and human-in-the-loop systems - into large banks, insurers, asset managers, and fintechs. You will operate as a strategic partner to senior executives across the business, technology, and risk organizations - helping them reimagine core workflows (e.g., underwriting, fraud detection, KYC, claims, research, and operations) 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. 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. You Will: Own and expand relationships with the largest financial services institutions (banks, insurers, capital markets, fintech), focusing on high-impact, multi-year AI transformations Sell agentic AI solutions by mapping Scale’s capabilities to mission-critical workflows (e.g., underwriting, fraud, compliance, customer ops, investment research) Build trusted relationships with executive stakeholders (CIO, CTO, Chief Data/AI Officer, Heads of Risk/Operations/Lines of Business) and guide enterprise AI strategy Develop and execute multi-threaded account plans that drive net-new revenue, expansion, and long-term platform adoption Lead complex deal cycles, including business case development, ROI modeling, and mutual close plans across new business, renewals, and expansions Partner deeply with Solutions Engineering to shape and land technically credible pilots, POVs, and production depl

Frontier AI labs decide what direction their models need to take before the actual training starts. As a Senior Frontier Data Strategist on Scale's Generative AI team, you'll be a trusted voice in those decisions. You'll partner with research leads and senior stakeholders at the world's leading AI labs to shape the data strategy behind their next generation of models, then design the human-data programs to deliver it. You'll sit where frontier research meets Scale's product roadmap, and you'll be expected to move both. With customers, you'll own senior, technically grounded relationships, anticipate where their research is heading, and bring them new data ideas before they ask. Inside Scale, you'll be a leading voice with our AI Product Managers, ML Research, Delivery Operations, and Engagement Management teams, turning what you learn from customers into product priorities and investment decisions. This is a forward-looking, highly cross-functional role. Our Engagement Managers own customer success for live programs; Frontier Data Strategists own everything that comes before it: spotting the need, designing the program, scoping and forecasting it, and winning the work. As a senior member of the team, you'll set the standard for how Scale does this work and help develop the Frontier Data Strategists around you. What you’ll do: Own relationships with senior research stakeholders at your assigned frontier labs, such as research leads, heads of post-training, and technical leadership, and become a strategic thought partner on their post-training, evaluation, and agent roadmaps. Set the data strategy for your accounts: anticipate needs across research areas, spot where the biggest opportunities are, and build a multi-program plan for how Scale can help. Direct the cross-functional team designing Scale's most complex and novel human-data programs, including work that has no precedent at Scale. Shape Scale's product roadmap by representing your customers in planning with A

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role We are hiring a Senior Strategy & Operations Manager to help run Snorkel's rapidly scaling Data-as-a-Service (DaaS) business. DaaS Operations is the centralized Strategy & Operations team reporting into the Head of Strategy and Operations, partnering across Supply, Delivery, GTM, Innovation, Finance, and Engineering to keep the business running with rigor and scaling efficiently as complexity grows. In this role, you will move fluidly across the most important problems in the business — operating cadences and planning cycles, capacity and supply planning, project execution and quality, customer outcomes, and the new operating functions we are standing up as DaaS scales. You will own end-to-end workstreams that don't have a clear home, build the operating systems behind them, and partner closely with the leaders of each function to turn strategy into measurable execution. This is a high-impact role suited for a strong operator who thrives in ambiguity, brings structure to fast-moving environments, and can balance strategic thinking with hands-on execution. What You'll Do Partner with leaders across DaaS — Supply, Delivery, GTM, Innovation, Finance, and Engineering — to bring operational clarity, execution rigor, and alignment to their highest-priority initiatives Own the operating cadence of the business — weekly, monthly, and quarterly reviews — and ensure goals, metrics, and reporting tell a clear story to leadership Drive cross-

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role In this role, you will lead and scale Snorkel’s entire Forward Deployed Engineering (FDE) organization. These are the engineers who design, build, and run the data pipelines used by the world’s leading AI labs and enterprises. You’ll shape the function’s direction, drive its execution, and manage our fastest-growing team as it scales from 40 to 100+ engineers. You’ll set the technical and organizational strategy that turns one-off implementations into reusable solutions—pipelines, evals, augmentations, and environments—and invest in shared ways of working. In our product lifecycle, FDE sits between Research, which defines novel approaches and training needs, and Engineering, which scales our platform and pipelines from 1 to 100. FDE owns the most important middle stretch, taking every new investment from 0 to 1. Your organization is responsible for both what we deliver and how we deliver it. Just as Engineering is the final gate for what goes to production, FDE is the final gate for every dataset that ships to a customer. Nothing goes out without your team’s sign-off. You’ll also own the pipelines that produce that data, from cost and throughput to latency and efficiency. This role is for a deeply technical leader who is, first and foremost, a doer . You’ll understand pipeline architecture well enough to challenge designs and propose direction, while coaching your managers and tech leads to think beyond their individual projects. In a fas