Design And Cost Estimation Head Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a talented and passionate Staff Software Engineer for our Snowpark Container Service , part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A STAFF SOFTWARE ENGINEER, YOU WILL: Design and develop features, understand customer requirements and meet business goals. Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. Build highly reliable and fault-tolerant software to meet the needs of the largest customers. Ensure operational readiness and maintainabilit

Job Title: Lighting Designer (AutoCAD + DIALux) Location: Jubilee Hills, Hyderabad Key Responsibilities: • Design and plan lighting layouts for commercial, industrial, and architectural projects using AutoCAD and DIALux. • Create photometric calculations, 3D models, and lighting simulations. • Collaborate with architects, engineers, and clients to finalize designs. • Prepare lighting proposals, drawings, and technical specifications. • Ensure designs meet standards and regulations (BIS, IES, etc.). Requirements: • B.E./B.Tech (Electrical/Illumination) or equivalent. • 1-3 years of experience in lighting design (preferably with AutoCAD and DIALux). • Proficiency in lighting calculations, fixture selection, and photometry. • Strong understanding of lighting concepts and design principles. We have 5 openings across Kokapet and Madhapur

The ERC Engineer - Electrical & Instrumentation (E&I) supports the ERC Lead - Electrical in managing electrical systems design and implementation for various projects. This role involves assisting preparing/reviewing in electrical equipment selection, preparation of technical documents, vendor coordination, and ensuring compliance with industry standards to deliver efficient project solutions. Source: Adani Group | Job ID: 54911

About the Team The Human Data team turns human feedback into reliable signals for training and evaluation. We design and run end-to-end programs that capture the depth of human intent behind everyday and high-stakes uses of our models. Our remit spans bespoke data campaigns, scalable synthetic data generation, and product-embedded signals. We partner closely across all research teams to translate these signals into training datasets, novel evaluations, and feedback loops that push the frontier of our models and advance their applications. About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research teams, operations and engineering to execute complex programs for collecting high-quality data. You will be a key interface between our external vendors and AI trainers, ensuring human data campaigns are successfully completed. Your work will play a key role in enabling OpenAI to train safe models that will land in the real world This role is based in our San Francisco HQ. In this role, you will: Work in a high velocity environment, where the outcome of your work will have a direct impact on the models that OpenAI deploy in the real world Work closely with external vendors, trainers and internal researchers to collect, review, and deliver high-quality data Gather requirements, write instructions, define success criteria, and calibrate the AI trainers Use internal tooling to assess labeled data and provide feedback to AI trainers Think critically and share recommendations on tooling and process improvements, optimizing for quality, throughput, and AI trainer experience You’ll thrive in this role if: You thrive in dynamic environments. You are comfortable navigating ambiguity, managing shifting priorities, and adapting to fast-paced changes without missing a beat. You’re curious about AI, LLMs, Agents. While not required, an interest or background in these areas will help you connect the dots in our broader mission. You have a can-do a

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field — connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value. The team works in close partnership with Account Executives on new business and expansion, and hands off to Delivery Engineers to own technical activation post-sale. About the Role The Customer Engineer owns the pre-sales technical journey — from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon. You also return post-sale for cross-sell and strategic expansion that requires a new technical evaluation. A great CE shows up researched, thinks in outcomes, leaves every interaction with more clarity than they walked in with, and treats handoff quality as a first-class output. Responsibilities Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC. Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes. Establish technical fit — c

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field — connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value. The team works in close partnership with Account Executives on new business and expansion, and hands off to Delivery Engineers to own technical activation post-sale. About the Role The Customer Engineer owns the pre-sales technical journey — from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon. You also return post-sale for cross-sell and strategic expansion that requires a new technical evaluation. A great CE shows up researched, thinks in outcomes, leaves every interaction with more clarity than they walked in with, and treats handoff quality as a first-class output. Responsibilities Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC. Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes. Establish technical fit — c

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Team Mixpanel's Customer Engineering team is a cross-functional group of highly technical problem solvers focused on driving customer outcomes across the full commercial lifecycle. Customer Engineers are the technical face of Mixpanel in the field — connecting prospect business problems to Mixpanel's technical capabilities, running sharp evaluations, and ensuring every customer who signs has a clear, fast path to value. The team works in close partnership with Account Executives on new business and expansion, and hands off to Delivery Engineers to own technical activation post-sale. About the Role The Customer Engineer owns the pre-sales technical journey — from discovery and technical fit assessment through competitive positioning, demo, and POC. You establish whether Mixpanel is the right technical fit before committing to a proof of concept, and when you do run one, you design it to be immediately actionable by the Delivery Engineer: focus metric defined, data validated, success criteria agreed upon. You also return post-sale for cross-sell and strategic expansion that requires a new technical evaluation. A great CE shows up researched, thinks in outcomes, leaves every interaction with more clarity than they walked in with, and treats handoff quality as a first-class output. Responsibilities Lead technical discovery, establishing the prospect's business challenges, technical environment, and qualification before committing to a POC. Design and deliver tailored, research-backed demos that connect Mixpanel's capabilities to the prospect's specific business outcomes. Establish technical fit — c

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Lead large-scale brand campaigns across digital, events, and out-of-home. Partner with engineering and product marketing on major product launches. Turn complex technical ideas into clear, compelling visual communication. Evolve the Baseten visual identity into a brand system that scales. Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership. Shape our employer brand and help define how new hires experience Baseten. Raise the bar for craft across every customer touchpoint. ABOUT YOU You have a portfolio of exceptional work with outstanding visual craft and attention to detail. You care deeply about quality and sweat the details. You communicate ideas clearly and thrive in collaborative environments. You know when to build systems, not just execute on assets. You default to ownership and are comfortable leading highly cross-functional projects from concept through launch. You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them. You thrive in a fast-moving environment with a high bar for quality. You have strong opinions about design and can articulate why something works - and why it doesn't. BONUS Motion design and animation experience Experience designing for developers or highly technical audiences. BENEFITS Competitive compensation, including meaningful equity. 100% covera

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. ROLE We're looking for a Solutions Product Marketing Manager to define and own Baseten's up-market, enterprise, and industries go-to-market strategy. You'll build the playbook that helps Baseten win large, complex deals and the vertical go-to-market strategies that let us compete in Financial Services, and Health & Life Sciences, and the use cases that scale across all of them. This is a highly cross-functional, largely greenfield role. You'll partner closely with the Industries sales team, product marketing, demand gen, and executive leadership to build on our enterprise go to market motion. RESPONSIBILITIES Enterprise Deal Playbook & Buyer Enablement Build the enterprise deal playbook and full bill of materials (BOM) — pricing guides, one-pagers, TCO/ROI guides, landing pages, and event/field collateral — mapped to every stage of the buyer's journey Build the system for keeping every sales asset current — clear ownership, last-updated dates, and a refresh cadence Develop industry-specific event concepts featuring anchor customers and AI-native accounts to build credibility with target executive audiences Vertical GTM & Industry Go-to-Market Kits Build vertical sales kits and ICP/positioning frameworks for priority industries Own industry-specific landing pages, messaging, and TCO guides, extrapolating from early AI-native accounts to larger enterprise targets Design and help launch an ABM experiments in p

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Model Performance team: Baseten Embeddings Inference: The fastest embeddings solution available The Baseten Inference Stack Driving model performance optimization RESPONSIBILITIES Core Engineering Responsibilities Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap Performance & Innovation Impl

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. You will own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across Baseten to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten. RESPONSIBILITIES Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. Build systems that automatically evaluate deployment health using metrics, logs, traces,

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We're looking for a Procurement Lead to build Baseten's procurement function from the ground up. This is a foundational, high-ownership role for someone who wants to define how a company runs procurement, not inherit an existing process. As the company scales across engineering, GTM, and corporate functions, we need to build purchasing workflows and vendor relationships. This is a rare, critical-moment hire: you'll set the leading-practice processes, systems, and policies that the company runs on as it continues to grow, with the mandate and dedicated focus to build something built to scale. This role exists to make procurement a source of leverage for the business, not friction. Your goal is to build scalable process, take on vendor management and RFP work that today sits informally with individual teams, and free up business owners' time and capacity, all while building the guardrails the company needs as it grows. You'll partner closely with Finance, Legal, Security, Compliance, IT, and business owners across the company, and you'll be judged on whether teams feel supported and unblocked, not slowed down. RESPONSIBILITIES Procurement Strategy and Process Design and implement Baseten's first company-wide procurement process, approval routing, and other workflows Establish procurement policies (spend thresholds, approval authority, competitive bidding requirements) tailored to a high-growth business Design pr

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making. You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics. You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning. RESPONSIBILITIES Design and maintain core data models and semantic layers Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks Analyze inference and infrastructure telemetry , including data from OpenTelemetry, Grafana, and other observability tools Define and maintain company-wide metrics across product usage, performance, and customer lifecycle Enable self-service analytics through agents and tools, with well-structured semantic layers and context Ensure data reliability and quality through testing, documentation, and governance PREFERRED QUALIFICATIONS Understanding of inference metrics s

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: Overview of the product so far Training docs overview Story of the Training product Research we've done RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) Partner closely with developers and research engineers to translate complex training requirements into technical solutions Design and architect a global training scheduler Design and architect reinforcement learning systems and continuous learning pipelines Drive long-term improvements to improve reliability of systems and velocity of development Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure Make critical architectural decisions balancing performance with system reliability Lead technical discussions and mentor junior engineers on infrastructure best practices Contribute to long-term technical strateg

👋 WELCOME TO GLIDE! At Glide we're reimagining the banking experience for the modern world. Our agentic platform empowers legacy financial institutions, like community banks and credit unions, to deploy specialized agents that help the bank grow its deposit and loan portfolio. In just the last year, we've raised $20M and grown revenue 500%, and we're accelerating. We're looking for our first Talent Engineer to help us hire the people who will carry that mission to thousands of banks. As Glide's first Talent Engineer, you will build the recruiting engine that doubles our team to more than 100 people. Think of it as a hybrid of recruiter and engineer: you'll design and run the software, automations, and data pipelines behind how we hire, so that finding and winning great people becomes a system we can scale instead of a manual grind. You'll decide what to build and what to buy. Some of it is a polished tool worth paying for. Plenty of it is a few lines of Python and an API call you wrote yourself. The instinct for which is which, and a bias toward the leaner, more controllable option, is what we're hiring for. This is a rare opportunity to join an early-stage company and help create a new standard for how a company hires. What You'll Do: Turn our network into our pipeline: Our best hires will come from people our team and investors already know. You'll build the systems that surface those second and third-degree connections at scale across LinkedIn, GitHub, operator communities, and referral graphs, so warm introductions happen on purpose instead of by luck. Automate sourcing and outreach: Stand up and tune the agents and sequences (Juicebox, Clay, Ashby, and whatever you build yourself) that find, enrich, and reach candidates faster and far more personally than any one person could by hand. Put AI on the first read: Design the LLM-assisted screening that filters for fit before a human spends a minute on it. You own the prompts, the scoring logic, and the quality che