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Scale is hiring a Senior Product Designer / Founding Designer to lead product design for Scale’s rapidly growing ‘AI for Enterprise Data’ business unit. The mission of AI for Enterprise Data is to accelerate the deployment of AI by helping large enterprises solve their most ambitious challenges. This role will take on multiple products ranging from 0-1 initiatives to improving established products. This includes a suite of powerful AI tools for insurance AI, document processing, and more. Responsibilities Design end to end user flows, wireframes, high-fidelity mockups, and interactive prototypes for desktop web applications. Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges. Advocate for the voice of the user as the founding designer of the business unit. Prioritize and execute work in a fast paced environment with rapid timelines and high amounts of scope and ambiguity. Contribute to the evolution of our company-wide design system and interaction patterns. Take ownership to identify product gaps and rally support for proposed solutions. Qualifications Experience leading end-to-end B2B and enterprise web applications. Extremely high proficiency in Figma, fast execution speed is a must. Experience designing dashboards, data visualization, domain-specific editors, and forms. Understanding of front-end development processes for web interfaces. Strong communication and collaboration skills, including customer-facing meetings. Portfolio of product design projects that highlight your diversity of skills. Nice-to-haves Exposure to artificial intelligence, machine learning, and other technical concepts. 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

Scale is hiring a Staff/Senior Product Designer to lead product design for Scale’s rapidly growing ‘AI for Enterprise Data’ business unit. The mission of AI for Enterprise Data is to accelerate the deployment of AI by helping large enterprises solve their most ambitious challenges. This role will take on multiple products ranging from 0-1 initiatives to improving established products. This includes a suite of powerful AI tools for insurance AI, document processing, and more. Responsibilities Design end to end user flows, wireframes, high-fidelity mockups, and interactive prototypes for desktop web applications. Partner with Product Managers, Engineers, Data Scientists, and Operations team members to solve product and business challenges. Advocate for the voice of the user as the founding designer of the business unit. Prioritize and execute work in a fast paced environment with rapid timelines and high amounts of scope and ambiguity. Contribute to the evolution of our company-wide design system and interaction patterns. Take ownership to identify product gaps and rally support for proposed solutions. Qualifications Experience leading end-to-end B2B and enterprise web applications. Extremely high proficiency in Figma, fast execution speed is a must. Experience designing dashboards, data visualization, domain-specific editors, and forms. Understanding of front-end development processes for web interfaces. Strong communication and collaboration skills, including customer-facing meetings. Portfolio of product design projects that highlight your diversity of skills. Nice-to-haves Exposure to artificial intelligence, machine learning, and other technical concepts. PLEASE NOTE: 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. About Us: At Scale, our mission is to develo

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict , PropensityBench , and Professional Reasoning Benchmark . Why join the HFC HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team. Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions. Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more. Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who should apply Background : PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field. Skills : Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlo

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict , PropensityBench , and Professional Reasoning Benchmark . Why join the HFC HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team. Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions. Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more. Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who should apply Background : PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field. Skills : Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlo

About the Collective The Human Frontier Collective (HFC) ’s mission is to bring the world's best minds to shape the future of AI – because the future of AI depends not only on powerful models, but on the people who teach them to think. We bring together researchers, academics, and domain leaders across 70+ fields – over 90% of members hold doctorates – to shape how frontier AI systems are built, evaluated, and governed. HFC members have since co-authored published work including SciPredict , PropensityBench , and Professional Reasoning Benchmark . Why join the HFC HFC centers on three core pillars: the network itself, participation in selected AI/ML projects, and opportunities to publish with our research team. Join a unique and exclusive expert network: You’ll become a part of an interdisciplinary community, consisting of over 90% doctorates and field leaders representing 70+ fields from the leading institutions. We’re a collective of top innovators and thought leaders committed to advancing frontier AI to power the world’s most important decisions. Participate in AI/ML projects: Beyond the collective network, you’ll be regularly invited to work on high-impact projects with Scale AI and its affiliated lab and platform: building AI safety and policy guardrails, helping models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and more. Co-author selected research publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition. Who should apply Background : PhD, or postdoctoral research experience, in Machine Learning, Computer Science, or a related field; or senior industry experience in Machine Learning or a related field. Skills : Strong proficiency in Python and modern ML frameworks (PyTorch, TensorFlo

About the Role We're hiring the best people in the market, and we need a sourcer who can help us find and win them. As a Recruiting Sourcer, you'll build and nurture the top of the funnel for our business-side hiring across Go-to-Market, Infrastructure Strategy, and G&A. You'll work with senior recruiting partners and business leaders on critical, hard-to-fill searches. Your first priority will be clearing our open searches by finding and engaging exceptional, mostly passive candidates. Over time, you'll build a warm pipeline of top-tier talent and a repeatable sourcing playbook that helps us scale. This is a chance to tell Together AI's story to people who are already doing great work elsewhere, and to see that work turn into real hires. Responsibilities Source, engage, and nurture top-tier passive candidates across GTM, Infrastructure Strategy, and G&A, including Enterprise Sales, Solutions Engineering, Sales leadership, Marketing, Customer Success, Director-level G&A, and Strategy and Infrastructure roles at the intersection of finance and AI compute. Partner with hiring managers and recruiters to calibrate on roles and ideal candidate profiles before sourcing Write personalized outreach that conveys Together AI's story and resonates with each candidate Proactively build pipelines for current and future roles, without waiting to be assigned Build and maintain long-term relationships with top-tier talent Track key sourcing metrics and use data to refine strategy and improve results Develop repeatable sourcing systems and a playbook to scale as hiring grows Work within our sourcing and recruiting stack, including GEM, LinkedIn Recruiter, Noon AI, and Greenhouse Adapt quickly as priorities shift and move between functions with ease Requirements 5+ years of sourcing experience (strong candidates with 3-4 years and exceptional results on hard-to-fill roles are also encouraged to apply) Track record sourcing senior passive talent for critical, hard-to-fill

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 Reporting to the Senior Director of Finance, the DaaS Finance Manager is a critical member of the Finance org and a dedicated finance partner to the DaaS business as we scale. You will drive the financial insights that lead to better decisions: what we charge, what it costs to deliver, how much we need to deliver, and how it all rolls into revenue and ARR. The job is not just reporting numbers, but telling leadership what they mean and what to do about them. You will partner closely with the operating teams (Sales, Delivery Ops and RevOps) and bring finance rigor to how we work: clear assumptions, consistent definitions, and models people trust. Success is measured by outcomes, not outputs: deals priced to target margin, staffing plans that match demand, and a forecast leadership has confidence in. Key responsibilities The work falls into three pillars, with the mix shifting through the quarter. 1. Revenue model and forecast (with RevOps) Maintain the DaaS revenue model: bookings, acceptance-based revenue and ARR by deal, with scenario cases for planning. Partner with RevOps on the weekly revenue and ARR forecast, and run the weekly forecast deck and summary for leadership. Reconcile the field's call (commit, forecast, best case) with a deal-by-deal finance view; quantify coverage, swing deals and risks. Track delivery pacing and acceptance against plan and identify execution risks. Build bridges and variance analysis (forecast vs actual,

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing The TQM team builds the planning layer of Forma.ai ’s platform. TQM stands for Territory and Quota Management. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. What matters more is how often a person makes the right call. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request s

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Staff Software Engineers to join our TQM team. You’ll work alongside other staff, senior, and early-career engineers to design, build, and scale backend and frontend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing The TQM team builds the planning layer of Forma.ai ’s platform. TQM stands for Territory and Quota Management. Sales operations teams use it to plan the deployment of large scale sales organizations: divide their target market among sellers, set and communicate targets, and manage changes during the year. Commissions, crediting, and reporting all depend on our data. We build with AI tools every day, so writing code is rarely what slows us down. What matters more is how often a person makes the right call. For the staff role at Forma, that means strong product judgement as well strong technical judgement. You will decide what problem to solve, which customer request s

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 The Strategic Delivery Lead is the senior operator accountable for turning a pod’s ambition into reliably delivered, high-quality work. This role is hybrid ( 3 days/week in office) in San Francisco, CA or New York City, NY. You will own the performance of a portfolio spanning samples, off-the-shelf datasets, proprietary data products, and bespoke engagements, connecting GTM, Research, Delivery, Product, Engineering, and Expert AI Supply to ensure the right work is prioritized, staffed, and executed. This is a highly cross-functional role: you will lead through influence cross functionally and directly manage a team of strategic project leads (SPLs), bring clarity to complex tradeoffs, and personally intervene when quality, delivery, or customer outcomes are at risk. You will be the pod’s owner for margin performance and operating economics, with a clear view of cost-to-deliver, gross margin, capacity, and the operational choices that drive them. While you will not set pricing, your cost, scope, and delivery inputs will directly inform pricing and commercial decisions. In partnership with Product, Research and Forward Deployed Engineering, you will translate the domain’s strategy and priority bets into an executable roadmap, mobilizing the teams required to bring it to life and building the systems, rhythms, and playbooks that make the model stronger with every launch. What You'll Do Own your pod’s margin performan

About Bolna Bolna is Voice AI infrastructure built for India - and now for the world. We help businesses deploy intelligent voice agents that can call, converse, and convert in any language, at scale. From collections to customer support to sales, our agents handle millions of conversations so humans don’t have to. We’re a YC F25 company, backed by General Catalyst, with 1,050+ paying customers and growing fast. This Role As an Enterprise Lead , you will own the success of Bolna’s largest and most strategic enterprise deployments. You will lead a team of Forward Deployed Engineers (FDEs), ensuring enterprise customers move from business problem → deployment → measurable outcomes. You’ll work closely with CXOs and senior stakeholders on the customer side while partnering with Bolna’s Product, Engineering, and Business teams internally. This is a high-ownership role. You will be expected to bring structure to complex enterprise problems, drive execution through your team, and ensure that deployments are not just launched - but successful. You’ll operate at the intersection of enterprise delivery, customer success, technology, and business . What You’ll Do Lead and manage a team of FDEs , setting clear priorities, driving execution, and maintaining a high bar for customer delivery. Own the end-to-end success of strategic enterprise deployments - from scoping and solution design to launch, adoption, and expansion. Work directly with enterprise stakeholders and CXOs to understand business objectives, define success metrics, and communicate progress. Translate complex business requirements into clear execution plans across FDE, Product, and Engineering teams. Review deployment strategies, solution architecture, agent performance, and customer outcomes to ensure quality and scalability. Identify risks and bottlenecks early and drive cross-functional teams toward resolution. Build repeatable enterprise deployment playbooks, processes, and best practices . Analyze customer a

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is looking for a highly experienced, hands-on Principal Solutions Engineer to lead customer and partner solution development, architecture, and deployment for our next-generation AI acceleration platform. This is a senior technical leadership role that combines customer-facing engagement, solution architecture, AI software optimization, and technical mentorship. This role will partner with strategic customers throughout their development lifecycle—from initial technical discovery, architectural evaluation, and proof-of-concepts through production deployment and scaling. Bridging the gap between AI hardware, software, systems, and customers, helping them successfully build, optimize, and scale cutting-edge AI workloads and agentic workflows on EnCharge technology. Serving as the voice of the customer, directly influencing product roadmaps, software features, and developer experience. Responsibilities Serve as the primary technical interface and trusted advisor for strategic customers and partners evaluating and deploying AI workloads on EnCharge platforms. Lead end-to-end customer engagements from technical discovery through proof-of-concept (PoC), design-in, performance benchmarking, system-level tuning, and production deployment. Support technical pre-sales efforts by clearly articulating solution value propositions, architectural differentiator

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. Staff Engineer: STA Methodology & Sign-off Lead We are seeking a high-caliber Staff or Senior Staff Engineer to architect and lead our SOC Static Timing Analysis (STA) Methodology along with execution responsibilities to eliminate the bottle-necks in STA and build bridges. This is a critical role for a forward-thinking engineer who excels at defining the frameworks and flows required to navigate the complexities of modern, large-scale SOC designs. Engineer will have scope to bridge Architecture, CAD, RTL, and Physical Design to establish a predictable, high-performance, and scalable path to tape-out. The Role As the lead for STA Methodology, you will own the sign-off architecture and the timing convergence strategy. Rather than just executing runs, you will build the "engine" that enables execution—defining flows, qualifying tools, establishing margin strategies (AOCV/LVF/POCV), and driving cross-functional alignment to meet aggressive Power, Performance, and Area (PPA) targets. Key Responsibilities Sign-off Methodology & Architecture: Define and own full-chip SOC timing sign-off criteria, including Multi-Mode Multi-Corner (MMMC) definitions, derate strategies, and operating condition mapping for functional, shift, and capture modes. Flow Development & Left-Shift Automation: Architect, deploy, and maintain adva

The role Scale builds enterprise AI systems deployed into production. As a Staff Solutions Architect, you lead technical execution on the most complex and highest-value enterprise opportunities in your vertical, and you set the technical standard the rest of the team works to. You own an assigned set of strategic accounts and remain the senior technical relationship owner across them. You are also accountable for leverage beyond your own deals: the reference architectures, evaluation methodologies, and technical processes you build are adopted by other Solutions Architects, and the patterns you surface shape Scale's product direction. You work alongside the Account Executive (commercial owner), the Project Manager (delivery owner), and the Tech Lead (engineering lead for implementation). This is an individual contributor role with mentorship responsibility, not a people-management role. What you will own Most complex opportunities. Lead technical strategy and execution on the largest and most complex deals in your vertical, measured by revenue, product scope, or data volume. Act as the final technical authority on whether Scale can deliver what is being proposed. Technical discovery and qualification at scale. Own qualification on ambiguous, multi-stakeholder opportunities where requirements are unresolved. Make and defend go/no-go and disqualification recommendations on deals with significant revenue attached. Evaluation methodology for the vertical. Define how Scale measures quality for the use-case classes in your vertical, including evaluation datasets, baselines, quality dimensions, and acceptance criteria that hold up under customer and regulatory scrutiny. Establish approaches other Solutions Architects reuse rather than rebuild. Executive technical relationships. Own long-term technical relationships with C-level and senior technical stakeholders across multiple accounts, including CTOs, Heads of AI, and engineering leadership. Convert those relations

Role Summary Scale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side — embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. What You'll Do Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value. Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally. Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap. Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs — specific, evidence-backed product perspective with tradeoffs articulated. Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel. Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams. Identify and develop expansion opportunities grounded in demonstrated customer value Represent customer reality to platf