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FEQ227R273 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #CMEG As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve pr

FEQ327R1 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team. The impact you will have: Partner with the sales team to help customers understand how Databricks can help solve their business problems Provide technical leadership for customers to evaluate and adopt Databricks Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications Build and present references architectures, how-tos, and demo applications for customers Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars Travel to customers in your region What we look for: 5+ years in a customer-facing pre-sales, technical architecture, or consulting role Experience designing and architecting distributed data systems Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R Experienc

About the Team We’re revolutionizing the way India shops — and we need curious, driven minds like yours to lead the charge.Imagine seeing your favorite influencer in a show-stopping outfit, only to find there’s no way to buy it online. Frustrating, right? That’s the very gap we’re solving at Meesho through Content Commerce and additionally trying to shape more influencers become entrepreneurs— and you could be at the heart of it.As our next Senior Associate – CC, you’ll play a pivotal role in solving one of the most common yet unexplored problems in Indian e-commerce: how to connect aspiration to access. And the solution lies in building a creator-driven commerce engine. About the Role This role sits within the Content Commerce GM org, one of Meesho’s most exciting and high-potential bets. Content Commerce is the hottest new trend in e-commerce globally, and we’re working to make it mainstream in India, just like we did with reselling.Within the Content Commerce org, you will be part of the Meesho Creator Club (MCC) team — a core team that focuses on onboarding, activating, and scaling creators across the country. The team’s mission is to enable creators to drive immersive, trustworthy, and high-conversion shopping experiences for Meesho users, directly impacting GMV and revenue.

Datadog is seeking an Analyst Relations Principal to help shape and scale our global Analyst Relations (AR) program. In this role, you will lead strategic engagement with industry analysts across observability, AI, and adjacent cloud technologies, ensuring they have a clear understanding of Datadog’s platform, innovation, and long-term vision. You will partner closely with Product Management and Product Marketing to translate complex technical capabilities into compelling narratives, while bringing analyst insights back into the business to inform strategy and positioning. This is a highly cross-functional role that blends strategic thinking with operational excellence and offers strong visibility across senior leadership. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop and drive the global analyst relations strategy across Datadog’s observability and AI portfolio Build and maintain trusted relationships with key analysts across firms such as Gartner, Forrester, and IDC Partner with Product Management and Product Marketing to craft clear, differentiated narratives aligned to market trends Lead strategy, preparation and execution of analyst evaluations and research cycles, ensuring high-quality submissions Prepare senior leaders for analyst briefings with structured messaging and executive-ready materials Synthesize analyst insights into actionable recommendations for product strategy and go-to-market alignment Who You Are: 8+ y

As an Enterprise Sales Engineer, you'll partner with Sales to help customers understand the value of Datadog and how it solves their most important technical and business challenges. You'll lead technical evaluations, deliver compelling demos, and guide customers through the journey from discovery to successful adoption. You'll act as a trusted advisor, bridging business goals with technical solutions, and play a key role in winning new business and expanding existing accounts. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the sales process in partnership with Account Executives by leading and shaping the technical strategy across opportunities from PG to Closed Won Lead customer discovery to uncover technical challenges, business goals, and success criteria, then translate those needs into tailored Datadog solutions Deliver engaging product demos, technical presentations, and workshops that connect platform capabilities to customer outcomes Project manage technical evaluations (POVs) end-to-end: scoping use cases and requirements, defining success criteria, building a project plan with clear timelines, and holding all participants accountable to the process Identify and cultivate technical champions within customer accounts, empowering them to advocate for Datadog adoption and drive consensus internally Participat e actively in structured product and engineering field feedback sessions, serving as the technical voice of the customer to help shape product direction Maintain operational excellence by ensuring activity, deal progress, and customer interactions are accurately documented and up to date in related systems Collaborate cross-functionally with Product, Support, and GTM teams to address customer needs and resolve

Natera is seeking a Staff Scientist to join our Early Research Team. The primary focus of this role is to independently lead the research and development of novel next-generation sequencing (NGS) technologies. In this role, you will lead projects from ideation to prototype, specifically designing and optimizing high-complexity NGS methods to advance our oncology diagnostic portfolio. Success in this role requires a deep technical foundation in molecular biology and NGS plus a proven track record of industrial R&D leadership. Primary Responsibilities: Lead and manage the development of innovative NGS-based diagnostic assays from feasibility through optimization. Define project goals and plans with input from stakeholders and manage multiple project streams in parallel. Independently design and execute complex laboratory experiments; analyze and interpret results to guide research direction. Coordinate cross-functional efforts to meet milestones and collaborate closely with bioinformatics, statistics, and data science teams to ensure robust experimental design and data analysis. Mentor and guide junior scientists while promoting scientific rigor and best practices. Author high-quality protocols, technical reports, and study documentation. Communicate progress regularly to stakeholders, including departmental meetings and senior leadership. Contribute to risk management, strategy development, and continuous improvement of scientific workflows. Qualifications: Ph.D. in molecular biology, genomics, or a closely related field. Minimum 8 years of relevant industry experience, or 2+ years postdoctoral research with 6+ years in industry. Proven experience in designing and advancing NGS-based diagnostics, preferably in the field of oncology. Required Expertise: A strong technical foundation in molecular biology or chemistry. Deep mechanistic knowledge of NGS library preparation chemistry. Demonstrated ability to independently design and execute complex experiments (solid

About The Role & Team Amplitude is the leading AI analytics platform, and our ability to deliver measurable customer outcomes quickly is a key part of how we keep that lead. The Customer FDE (Forward Deployed Engineering) team sits at the intersection of engineering, product, and customer success — owning the technical delivery that takes validated products from co-development and implements them across enterprise customers. As a Customer Forward Deployed Engineer, you will own end-to-end technical delivery for enterprise customer implementations, from sales engagement through post-deployment validation. You'll work directly in Amplitude's product codebase, submitting PRs, shipping customer-specific solutions, and building reusable patterns that make every successive engagement faster. This is not a traditional support or solutions role. Customer FDEs are engineers first who partner closely with Sales, Customer Success, Product, and Engineering to turn customer needs into working software. The right person thrives in ambiguity, learns new domains quickly, and cares as much about the customer's outcome as about technical elegance. As a Customer Forward Deployed Engineer, you will: Own enterprise implementations end-to-end — engage during sales to map customer needs to capabilities, scope implementation plans, and deliver through post-deployment validation with measurable customer outcomes Work directly in the product codebase — submit PRs, test, and ship customer-specific solutions without requiring constant oversight; over time, the gap between "what we built" and "what the customer needs" keeps shrinking because you're the one closing it Ship early, ship often, and gather feedback — treat every customer interaction as an opportunity to validate your approach and course-correct quickly Build reusable patterns and playbooks — when you solve something once, make sure the next person doesn't have to solve it again; identify and document implementation patterns that

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. About the Role We are looking for a Staff Integration Engineer (Workato & API Integration) to join our GTMTech team. This strategic role will lead the design, implementation, and governance of enterprise-grade integrations that power our core business processes across GTM systems, with a primary focus on Workato-based integrations and modern API management patterns. You will own the architecture for critical integration domains such as Quote-to-Cash and other high-impact GTMTech programs, ensuring our integration landscape is scalable, secure, observable, and aligned with best practices for event-driven and API-first designs. You will partner with engineering, architecture, security, and business stakeholders to define standards, mentor other integration engineers, and drive continuous improvement in how we connect systems and data. The GTMTech team is focused on high-impact, large-scale technology programs, such as Quote-to-Cash. Our mission is to enhance company efficiency, boost profitability, and enable data-driven decision-making by streamlining systems, optimizing processes, and minimizing manual, low-value work through automation and AI. Key Responsibilities Lead the end-to-end architecture, design, and implementation of Workato-based integrations and APIs across GTM systems (e.g., Salesforce, NetSuite, HRIS, Google Workspace) with a focus on scalability, reliability, and security Define and evolve integration standards, patterns, and best practices, including canonical integration patterns, error-handling strategies, observability, and operational runbooks Design and review complex, event-driven integration workflows leveraging technologies such as Kafka or equivalent messaging platforms, ensuring robust handling of topics, producers/consumers, durability, and retry mechanisms Drive API-first and MCP-native design for GTM integrations, leveraging RESTful APIs al

At Zoox, we are seeking a Head of Talent Acquisition to architect our global scaling strategy and lead a high-performing, 50+ person cross-functional organization. As a key member of the People Experience (PEx) leadership team, you will oversee the end-to-end talent acquisition lifecycle (from early career to executive search) ensuring our recruitment engine is high performing, scalable, and built to meet Zoox's growth. In this role, you will leverage innovative technology and visionary leadership to ensure our talent acquisition strategies remain as cutting-edge as our autonomous technology. In this role, you will... Strategic Talent Architecture & Vision : Create and execute Zoox’s end-to-end talent strategy, both proactive and reactive external recruiting, encompassing company-wide hiring, which includes the university program, internal mobility initiatives, core industry, and executive recruiting. Team Development & Leadership : Lead a high-performing cross-functional recruiting organization of at least 50+, fostering a culture of excellence and accountability through dedicated mentorship, coaching, and a focus on continuous operational improvement Operational Scaling & Excellence: Engineer scalable talent processes, from initial sourcing to offer delivery, ensuring seamless, consistent candidate experience across all organizational levels and recruitment stages Talent Intelligence & Data Storytelling : Establish a data-driven recruitment culture by architecting organization-wide reporting frameworks; translate complex talent metrics into high-impact narratives that empower executive leadership to optimize workforce planning and sourcing strategies Technology Enablement & Innovation : Partner with the Manager of HR Technology to architect and evolve a scalable talent ecosystem and leverage AI as a strategic leve

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

Principal Research Scientist – Scaling P-1227 About Databricks AI At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development, by building and running the world’s best data and AI platform. The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all. About the Scaling Research Team The Databricks AI Scaling team focuses on pushing the boundaries of large language model (LLM) training and inference efficiency beyond what is required to support existing models. The team explores novel avenues for scaling and efficiency improvements across algorithms, systems, and infrastructure, requiring researchers who can both drive independent research agendas and dive deep into low‑level implementation details with engineering partners. Role Summary As a Principal Research Scientist – Scaling, you will lead a team of world‑class researchers and engineers to advance the state of the art in large‑scale machine learning, focusing on post-training, RL and inference efficiency, optimization, and scaling. You will define and execute a research roadmap that advances the Databricks AI platform and delivers tangible improvements to how customers train, serve, and adapt LLMs at scale, working closely with product, data, and engineering leaders to bring cutting‑edge methods into production. The Impact You Will Have Lead and grow a multidisciplinary research team focused on foundational and applied AI problems, with a particular emphasis on LLM scaling, efficiency, and systems performance. Define the scaling research roadmap in alignment with Databricks’ strategic obj

Win new business to help leaders build exceptional workplaces and thriving teams. As a senior business development consultant at Gallup, you’ll lead complex consultative sales conversations with senior executives, helping them solve their most pressing performance challenges through evidence-based insights and strategic advisory. This is a high-performance, quota-carrying role for someone energised by uncovering opportunity, closing complex deals and building deep, lasting partnerships as a trusted adviser. What You’ll Do Lead end-to-end business development across German-speaking markets, from proactive outreach and qualification to closing and strategic partnership Drive bookings and revenue growth, taking ownership of your performance from day one Conduct deep discovery conversations with senior executives, listening intently for underlying needs and strategic opportunities Shape compelling proposals and architect tailored solutions Influence complex stakeholder groups and confidently navigate objections to gain commitment and close deals Orchestrate internal teams and resources to deliver seamless client experiences from sale through execution Stay engaged post-sale as a strategic adviser, participating in key touchpoints and strengthening long-term partnerships Represent Gallup at executive meetings, events and industry forums to expand your network and open new commercial conversations Who We Want Target-driven performers who consistently meet or exceed bookings and revenue goals through disciplined pipeline management, strong forecasting and closing excellence Competitive influencers who confidently engage and influence workplace leaders in high-stakes, strategic conversations and negotiations Opportunity creators who prospect with purpose, build multiyear account plans, and expand relationships through value and credibility Consultative, trusted advisers who listen deeply, diagnose thoughtfully and translate c

Win new business to help leaders build exceptional workplaces and thriving teams. As a senior business development consultant at Gallup, you’ll lead complex consultative sales conversations with senior executives, helping them solve their most pressing performance challenges through evidence-based insights and strategic advisory. This is a high-performance, quota-carrying role for someone energised by uncovering opportunity, closing complex deals and building deep, lasting partnerships as a trusted adviser. What You’ll Do Lead end-to-end business development across French-speaking markets, from proactive outreach and qualification to closing and strategic partnership Drive bookings and revenue growth, taking ownership of your performance from day one Conduct deep discovery conversations with senior executives, listening intently for underlying needs and strategic opportunities Shape compelling proposals and architect tailored solutions Influence complex stakeholder groups and confidently navigate objections to gain commitment and close deals Orchestrate internal teams and resources to deliver seamless client experiences from sale through execution Stay engaged post-sale as a strategic adviser, participating in key touchpoints and strengthening long-term partnerships Represent Gallup at executive meetings, events and industry forums to expand your network and open new commercial conversations Who We Want Target-driven performers who consistently meet or exceed bookings and revenue goals through disciplined pipeline management, strong forecasting and closing excellence Competitive influencers who confidently engage and influence workplace leaders in high-stakes, strategic conversations and negotiations Opportunity creators who prospect with purpose, build multiyear account plans, and expand relationships through value and credibility Consultative, trusted advisers who listen deeply, diagnose thoughtfully and translate c

Win new business to help leaders build exceptional workplaces and thriving teams. As a senior business development consultant at Gallup, you’ll lead complex consultative sales conversations with senior executives, helping them solve their most pressing performance challenges through evidence-based insights and strategic advisory. This is a high-performance, quota-carrying role for someone energised by uncovering opportunity, closing complex deals and building deep, lasting partnerships as a trusted adviser. What You’ll Do Lead end-to-end business development across French-speaking markets, from proactive outreach and qualification to closing and strategic partnership Drive bookings and revenue growth, taking ownership of your performance from day one Conduct deep discovery conversations with senior executives, listening intently for underlying needs and strategic opportunities Shape compelling proposals and architect tailored solutions Influence complex stakeholder groups and confidently navigate objections to gain commitment and close deals Orchestrate internal teams and resources to deliver seamless client experiences from sale through execution Stay engaged post-sale as a strategic adviser, participating in key touchpoints and strengthening long-term partnerships Represent Gallup at executive meetings, events and industry forums to expand your network and open new commercial conversations Who We Want Target-driven performers who consistently meet or exceed bookings and revenue goals through disciplined pipeline management, strong forecasting and closing excellence Competitive influencers who confidently engage and influence workplace leaders in high-stakes, strategic conversations and negotiations Opportunity creators who prospect with purpose, build multiyear account plans, and expand relationships through value and credibility Consultative, trusted advisers who listen deeply, diagnose thoughtfully and translate c

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra