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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! Senior Technical Recruiter - Product Location: San Francisco, CA As a Senior Technical Recruiter at Snorkel AI, you will play an instrumental role in identifying, sourcing, and engaging top Product talent for our growing organization. Drawing on your deep experience recruiting in fast-paced startup environments, you'll not only find and hire the brightest Product minds in the market, but also create a candidate experience that reflects our brand and values every step of the way. Our Talent team lives our company values day to day: we put Quality First in every search and every candidate interaction, we're relentless about pushing the frontier of how great startups hire, we treat our hiring managers as true partners in solving their hardest talent challenges, we're Competitive Yet Kind — driven and high-bar, without ego or politics — and everyone on the team has the startup gene, rolling up their sleeves to do the job that needs doing . This is a chance to join a high-caliber, cross-functional team building a generational company. Main Responsibilities Recruiting Strategy: Develop and execute creative, effective strategies for attracting top-tier Product talent in a highly competitive market. Own sourcing to build and maintain a robust, consistent, and diverse pipeline of candidates. Recruiting Data: Track and analyze the metrics that matter across the recruiting funnel, using data to continuously improve speed, efficiency, and outcomes. Candidate

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! Senior Technical Recruiter - Engineering Location: San Francisco, CA or New York, NY As a Senior Technical Recruiter at Snorkel AI, you will play an instrumental role in identifying, sourcing, and engaging top Engineering talent for our growing organization. Drawing on your deep experience recruiting in fast-paced startup environments, you'll not only find and hire the brightest engineering minds in the market, but also create a candidate experience that reflects our brand and values every step of the way. Our Talent team lives our company values day to day: we put Quality First in every search and every candidate interaction, we're relentless about pushing the frontier of how great startups hire, we treat our hiring managers as true partners in solving their hardest talent challenges, we're Competitive Yet Kind — driven and high-bar, without ego or politics — and everyone on the team has the startup gene, rolling up their sleeves to do the job that needs doing . This is a chance to join a high-caliber, cross-functional team building a generational company. Main Responsibilities Recruiting Strategy: Develop and execute creative, effective strategies for attracting top-tier Engineering talent in a highly competitive market. Own sourcing to build and maintain a robust, consistent, and diverse pipeline of candidates. Recruiting Data: Track and analyze the metrics that matter across the recruiting funnel, using data to continuously improve speed, efficiency

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 Snorkel's Platform organization owns the infrastructure and services that power everything at Snorkel — the pipelines, evals, access layers, event systems, governance, compute, and agent infrastructure that every product team and customer deployment depends on. We're a small team with a large surface area, and we're in the middle of a foundational architecture shift: moving from a single-database data path to a multi-source, event-driven agent first platform. The decisions being made now will define how our platform scales for years. You will be making them. About the Role We're looking for Platform Engineers who combine strong infrastructure chops with real backend engineering depth. You'll build and operate the systems, services, and agent infrastructure that let product teams move fast and reliably — from data access layers and event-driven pipelines to the agent first architecture that will transform our ability to scale. Your work will directly allow us to scale the amount of high quality data we are able to deliver to our customers. We are looking to grow our team of Platform Engineers, and are hiring at multiple levels. What You'll Do Design and build agent infrastructure that allows us to safely and reliably speed up workflows from engineering and operation teams Design and implement event-driven data flows using event brokers, CDC connectors, schema registries, event routing, and dead letter queues — ensuring events flow reliably

About the Role Together serves a broad portfolio of open-weight models, backed by infrastructure designed to run them quickly and efficiently. The interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads. As Senior Product Manager for Model APIs and Developer Experience, you will own those interfaces. Your scope will extend beyond chat to include the APIs and developer experience for image, video, voice, and passthrough models. You will also own compatibility with the wider developer and agent ecosystem, the voice consumption experience and associated model partnerships, and the evolution of our batch inference product. These areas are connected by a single goal: make Together's models easy to adopt and reliable to build on for developers and autonomous agents. This is a hands-on product role. You will read API specifications, test integrations, inspect code when useful, and build prototypes or demo applications to sharpen your thinking. You will work closely with engineering and research, own the product direction, make thoughtful tradeoffs, ship, and learn from how customers use what we build. Responsibilities Set the product direction and roadmap across chat and multimodal APIs, ecosystem compatibility, voice, and batch inference. Close the API and behavioral gaps that make it harder for customers to move workloads from proprietary model providers to Together. Develop a grounded view of how Together's APIs perform in the developer and agent ecosystem, and turn the most important gaps into clear product priorities. Define an intuitive API and consumption experience for real-time and agentic voice applications. Build productive relationships with voice model partners and align internal and external teams around a strong joint product experience. Reimagine batch inference across the job lifecycle, developer experience

We’re looking for a Talent Acquisition professional to join the People team at Bolna.ai . This is a hands-on role for someone who understands the nuances of hiring , thrives in a fast-paced environment, and knows how to build pipelines, convert strong candidates, and help teams hire exceptional talent at speed. What you’ll do Own end-to-end hiring across multiple functions — from understanding the requirement and sourcing to interviews, offers, and closures. Partner closely with hiring managers and leadership to understand hiring needs, define candidate profiles, and drive focused hiring strategies. Build and maintain strong talent pipelines through LinkedIn, referrals, communities, databases, and creative sourcing channels . Understand the nuances of hiring — what to look for, where to find the right talent, how to engage candidates, and how to convert them . Drive fast-paced hiring without compromising on candidate quality or experience. Build strong candidate relationships and effectively manage the funnel from first conversation to closure . Own and strengthen employee referral programs , finding creative ways to increase participation and conversions. Track pipeline health and hiring metrics, identify bottlenecks, and continuously improve the hiring process. Contribute to employer branding, talent mapping, and other hiring initiatives as Bolna scales. Who we’re looking for 3–6 years of experience in Talent Acquisition / Recruitment, preferably in a startup or high-growth environment. Strong understanding of fast-paced hiring and high-volume / multi-role recruitment . Excellent sourcing, screening, candidate engagement, and offer conversion skills. Strong understanding of the nuances of hiring and building quality talent pipelines . Experience managing or building employee referral programs . Strong communication, stakeholder management, and negotiation skills. High ownership, urgency, and attention to detail. Someone who enjoys figuring things out, moving fast,

About Scale AI Scale AI accelerates the development and deployment of AI, from the high-quality training data and evaluation services that power the world's leading AI labs, to full-stack AI applications built for Enterprise, U.S. Public Sector, and Global Public Sector customers. We don't just hand over a model; we find the highest-value use case, build the system around it, and own the outcome, whether that's an agent supporting mission planning for the Department of Defense, a sovereign AI platform for a government ministry, or an agentic workflow inside a Fortune 500 enterprise. Our platform powers breakthroughs at the frontier of AI, and great design is how we make that power accessible, intuitive, and trusted by the teams who rely on it every day. The Role We're looking for a product design leader to lead and grow our enterprise team. What You'll Do Set the direction for Enterprise design. Define what exceptional design looks like for Scale's Applications customers making high-stakes decisions and for the expert contributors powering the platform. Translate the broader design vision into a clear, motivating direction for your team. Build and lead the team. Own hiring, development, and day-to-day leadership for a growing team of designers. Create the culture and operating rhythms that let them do their best work. Drive design execution across the Enterprise product. Partner with your Product and Engineering counterparts to set priorities and ensure design is involved from problem scoping through delivery, not brought in at the end. Raise the craft bar. Uphold design principles and quality standards on your team. Push designers beyond digitizing workflows toward genuinely rethinking how people work with AI. Hold the line on quality without slowing delivery. Contribute to the design system. Help shape and adopt Scale's shared design system, championing consistent component use and contributing patterns back so a distributed team can build coherently at speed. Gro

Job Title: Senior PD engineer : Synthesis & STA Location: Bangalore INDIA Hybrid / Remote Role Overview We are seeking a highly skilled VLSI Synthesis & STA Specialist to take end-to-end ownership of logic synthesis and quality signoff for key blocks and sub-chips. In this role, you will act as a critical bridge between the front-end design and back-end physical implementation teams. You will not only drive synthesis execution to meet aggressive target frequencies but also act as an advisor to the RTL team, providing structural feedback to optimize the netlist. This role offers a distinct growth trajectory, with the expectation to expand into adjacent physical design territories, including Place and Route (PNR) and comprehensive timing convergence. Key Responsibilities Synthesis Ownership: Drive and own the complete logic synthesis process for all designated blocks and sub-chips, ensuring optimal area, power, and performance metrics. Quality Signoff: Define, execute, and monitor rigorous sanity checks to achieve a high-quality, pristine Synthesis Signoff. RTL Collaboration: Work closely with RTL design engineers to ensure the delivery of a clean, fully linted netlist prior to handoff. Frequency & LOL Optimization: Deep dive into timing paths to ensure Levels of Logic (LOL) are strictly controlled and aligned with high-frequency target requirements. Micro-architecture Guidance: Go beyond reporting LOL violations; provide actionable RTL coding guidelines, structural recommendations, and micro-architecture inputs to help designers transform their code into a superior, synthesis-friendly netlist. Role Expansion: Progressively take on responsibilities in physical implementation adjacencies, actively participating in PNR execution, Static Timing Analysis (STA), and full-chip timing convergence. Required Skills & Qualifications Experience: 5 to 8 years of proven exper

The Role We are seeking a highly skilled and hands-on SoC Floorplan Lead to own the physical foundation of our next-generation AI and Data Center SoCs. In this critical role, you will be the bridge between architecture, logic design, and physical design. You will work hand-in-hand with Chip Architects and RTL Leads to influence micro-architecture and ensure the physical implementation achieves best-in-class Power, Performance, and Area (PPA). If you love solving complex spatial puzzles on advanced technology nodes, integrating sensitive analog components, and driving execution in a high-energy start-up environment, this is the role for you. Key Responsibilities Top-Level Floorplanning: Own the SoC-level floorplan from concept to tape-out for high-performance, large-scale AI/Data Center chips on advanced process nodes (e.g., 5nm, 3nm or below). Architecture & RTL Collaboration: Partner closely with Architecture and RTL teams to provide early physical feasibility feedback. Drive block partitioning, shape optimization, and data-flow planning to achieve the absolute best PPA. Bump & Package Co-Design: Lead bump planning and IO ring definition. Work with packaging teams on flip-chip/advanced packaging constraints, ensuring optimal signal escape and power delivery. Custom & Analog Routing: Manage the placement and custom routing strategies for critical Analog/Mixed-Signal (AMS) IPs, high-speed SerDes (PCIe, Ethernet, Memory interfaces), PLLs, and sensitive clock distributions. Power Delivery Network (PDN): Design and analyze the top-level power grid, ensuring robust power delivery for high-current AI workloads while minimizing IR drop. Pin Assignment & Feedthroughs: Manage macro placement, block-level pin assignments, and top-level feedthrough planning to optimize global timing and routing congestion. Methodology Development: Build and maintain scalable Floorplanning workflows and

At Scale, we build the AI systems behind some of the country's most important decisions. On the Public Sector Engineering team, you'll embed directly with U.S. government customers, including the Army, Air Force, Joint commands and Intelligence Community, to build and deploy AI applications that support their most critical missions. This is a hybrid customer-facing engineering role. You'll sit with the people whose problems you're solving, own delivery from first prototype to production, and ship software that customers adopt and rely on in the field. Model performance matters, timelines are urgent, and ambiguity is the norm. Your work directly shapes what Scale's platform can do for the public sector. What you'll do Embed with government customers to understand their mission, scope the problem, and turn it into working software. Own delivery end-to-end: design, build, deploy, and maintain solutions at customer sites, from prototype to stable production. Build robust backend systems and data integrations that connect customer environments to Scale's platform and back. Partner with product and engineering to feed field signals back into the roadmap, so the patterns you build once become capabilities the whole team can reuse. Serve as the technical point of contact for customer stakeholders, guiding adoption and maximizing mission impact. What we're looking for Required 5+ years of software engineering experience, ideally in customer-facing, forward-deployed, or government contexts. Strong production coding in Python and TypeScript (or comparable modern languages). Comfort across the stack, including cloud platforms (AWS, Azure, or GCP), containers, Linux, and networking fundamentals. Ability to operate independently in ambiguous, fast-moving environments and make sound trade-offs under pressure. An active TS/SCI clearance. Bonus Experience building or deploying systems powered by LLMs or generative models. Familiarity with Node and React, Kubernetes and Docker, and T

About the Role Together.ai is looking for a Senior Software Engineer to join the Customer Insights team. Customer Insights owns the customer-facing visibility layer of Together's Cloud — the systems that help customers understand what's happening in their environment, trace back what happened and why, and act on it with confidence. Every time a customer needs to understand their own activity — what happened, who did it, when, and whether it needs attention — they rely on the systems we build. Whether it's a developer inspecting recent activity, an enterprise team auditing their organization, or an operator diagnosing an anomaly, we make that visibility clear and trustworthy: simple for everyday cases, robust enough for complex organizational needs. We're turning today's fragmented visibility patterns into coherent product and platform foundations, and building toward a next generation of insight tooling that summarizes activity, explains anomalies, and correlates signals across surfaces — for both human operators and autonomous agents. You'll take ambiguous problems and turn them into a clear technical direction. You'll set the technical approach for significant pieces of the system, weigh in on architecture beyond your immediate area, and help less experienced engineers navigate unfamiliar problem spaces. You'll have real autonomy over how problems get solved, paired with a team that reviews, debates, and learns in the open. Responsibilities Design and ship core features of Together's Customer Insights platform — the systems customers rely on to see, trace, and act on their own activity. Drive the technical design for new capabilities, including proposing architecture, writing design docs, and getting buy-in across teams. Partner with Data Platform and Observability engineering teams to leverage Together’s core data stack and capabilities to build out Customers Insights data collection and stream processing systems. Own significant areas of the system end-to-end —

About the Role Together AI's product is what developers touch every day — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals. These surfaces are how users experience the platform, and they need to be fast, intuitive, and something developers genuinely love using. That's what this role is about. We're growing the Product Engineering team and looking for a fullstack engineer who's motivated by shipping things users genuinely value — not features that just look good in a slide deck. You'll plug directly into new and existing workstreams and start shipping quickly, working across our core product surfaces to improve existing capabilities and build new ones. This is a high-ownership role on a small, fast-moving team, where one strong engineer moves the needle visibly. You'll see your work in production, instrument and measure it, and use that to shape what comes next. Responsibilities Ship improvements and new capabilities across Together AI's core product surfaces — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, and Model Evals Own projects and features end-to-end, from data model and API integration through the user interface Collaborate closely with other engineers to build clean, typed, reusable interfaces in our web application Instrument and measure what you ship — add product analytics, monitor system health, and prove users are getting value with data Work across design, product, and engineering to ship things that unlock user value Raise the bar on frontend and fullstack quality across the team through code review and collaborative architecture decisions Requirements 4–7 years of experience building and shipping real product to real users Strong JavaScript/TypeScript fundamentals; TypeScript experience highly valued Strong React expertise in a large-scale, production environment Full-stack fluency: you connect the dots from data model to API design to state management to the UI, and know how to make t

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications. As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed. As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery. You will: Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments). Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution. Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes. Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally. Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent. Stay deeply connected to the resear

Senior Data Engineer, Public Sector As a Data Engineer for the Public Sector business unit, you will build Scale's analytical and business-intelligence infrastructure. Scale's customers process millions of tasks through our APIs, and we're looking for a talented Data Engineer to build scalable solutions to support this growth. You will have widespread purview, with responsibility for understanding, mining, aggregating, and exposing data across the entire business unit to support timely and efficient decision-making and data exploration. You will also implement Scale's data warehouse, data mart, and business intelligence reporting environments, and help users transition their workflows to these systems. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable data solutions. Your responsibilities will include both ad-hoc analyses and the creation of core data models and pipelines, directly impacting how Scale operates and evaluates its performance. You will: Work with operations, finance, and engineering to drive the development of pipelines that provide single-source-of-truth foundational accuracy Continually improve ongoing data pipelines and simplify self-service support for business stakeholders Perform regular system audits, and create data quality tests to ensure complete and accurate reporting of data/metrics Develop repeatable, scalable analytical solutions, such as data models, improved pipelines, or better underlying tables Have an active Secret security clearance (Top Secret preferred) Ideally You’d Have: 5+ years of relevant work experience in a role requiring application of data modeling and analytic skills Ability to create extensible and scalable data schema and pipelines that lay the foundation for downstream analysis Mastery of SQL and relational databases; experience with programming languages (e.g., Python/R) Experience building a reliable transformation layer and

About the Role Together AI is looking for a Senior Network Engineer to design, deploy, and operate the global network infrastructure supporting our production services and high-performance AI compute environments. This is a hands-on engineering role for someone with deep networking expertise who can also troubleshoot across Linux, Kubernetes, automation, and application boundaries. You will work on large-scale, multi-vendor data center networks and help ensure they remain highly available, reliable, scalable, and performant. The ideal candidate has strong networking fundamentals, experience operating complex networks at scale, and a structured, evidence-based approach to troubleshooting. You should be comfortable owning problems from initial investigation through root cause and resolution, including situations where the issue may extend beyond the network itself. Requirements 8+ years of professional experience designing, building, and supporting large-scale production data center, cloud, service-provider, or high-performance computing networks (excluding enterprise networks). Deep understanding of TCP/IP and strong experience with technologies such as BGP, OSPF, VXLAN, EVPN, ECMP, and QoS. Experience designing and supporting multi-tenant network environments using technologies such as VRFs, VLANs, overlays, and policy-based segmentation. Hands-on experience deploying and troubleshooting network platforms from vendors such as Arista, Cisco, Juniper, and NVIDIA. Strong troubleshooting skills using tools such as Wireshark, tcpdump, MTR, curl, nmap, and standard Linux networking utilities. Ability to diagnose connectivity, latency, packet-loss, routing, and performance issues across the network, host, and application layers. Experience developing or maintaining network automation using Python, Ansible, or similar tools. Experience working through a Git-based software development lifecycle, including branching, code review, validation, linting, testing, CI/CD, deploymen

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 Engineers on this team build our rules-based calculation engine for processing sales commissions. This might sound simple if you have never been exposed to sales compensation plans, it is not. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform, which means there is meaningful room to improve the design, reliability, and scalability of the systems we build. What you’ll be doing Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities, contribute to system design discussions, and help ensure our data systems remain reliable, maintainable, and scalable as Forma grows. As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the platform. You will: Design, build, and improve Spark-based data pipelines and platform services. Work with complex data models representing sales compensation plans, hierarchies, relationships, and enterprise datasets. Build reliable, deterministic data systems that customers and internal teams can trust. Improve testing, observability, data quality,