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This is a senior individual contributor role for someone who wants to actively shape how Engineering, one of the most important parts of how Datadog develops its people. You'll sit at the center of Datadog's biggest talent bets for Engineering: how we build leaders, define career paths and org design, evolve performance, move talent internally, and plan succession for our most critical roles. You’ll own this work end to end, from the first framing conversation with senior leaders through to delivering a program running at scale. AI is changing how Engineering builds software, and it is changing how People builds the programs that support Engineering too. This role sits at the centre of both: understanding how AI is reshaping engineering roles, skills and structures, and building AI-powered solutions within People to keep pace. 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: Design and lead complex talent programmes for Engineering, spanning leadership capability, career architecture, org design, performance, internal mobility and succession for critical roles. Partner directly with PBPs and senior leaders to turn ambiguous problems into clear programme goals, design principles and success measures. Help Engineering and People understand and respond to how AI is reshaping roles, skills and ways of working, and translate that shift into practical talent and org design choices. Stay hands-on from concept through to adoption: this is a build and run role, not a strategy and handover role. Work across Enablement, Learning, People Analytics and People Systems so what you build scales and embeds into core people processes. Equip PBPs with frameworks, tools and executive-ready narratives that support real adoption in the business. Operate in ambiguity and influe

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Skills and Qualifications: Product Knowledge: Deep understanding of product offerings and their real-world applications, particularly in AI technologies, enabling effective communication of value to potential customers. Sales Expertise: Proven track record in building positive relationships, prospecting, and negotiating high-value deals with senior executives. Experience generating pipeline through cold calling and prospecting. Interpersonal Skills: Strong communication and interpersonal abilities, with the capacity to be personable yet persistent, adapting your approach to different customer needs. Technical Acumen: Effective combination of selling skills and technical understanding, focusing on strategic thinking, problem-solving, and value creation tailored to each unique client. Adaptability: Ability to thrive in a fast-paced, dynamic environment, with a high level of flexibility and the capacity to adapt to changing priorities and overcome challenges. Responsibilities: Lead Generation: Responsible for outbound prospecting, generating new leads, and developing comprehensive strategies to expand the company’s presence within targeted institutions or regions. Client Engagement: B

About the Team Netlify's Customer Success team is responsible for making sure customers get real, lasting value from the platform - from onboarding through renewal and beyond. The team works closely with Sales, Product, and Marketing to help customers grow their usage, see clear outcomes, and stay engaged over time. Every motion the team runs - whether it's a renewal conversation, a feature adoption push or customer escalation - is designed to build trust and relationships that compound. This role exists because we have a growing book of SMB accounts that need a dedicated, consistent point of contact. As our Customer Success Associate, you’ll drive broad-stroke outreach and build the workflows to manage them well. You'll carry a book of 120+ accounts with roughly $2M in ARR, and your job is to make sure those customers are engaged, getting value, and set up for renewal. This is an entry-level role with real ownership from day one, and you'll have mentorship from senior teammates as you ramp into the commercial side of the work. What You'll Do Own the day-to-day relationship for your book of accounts, serving as the primary point of contact and keeping customers informed, engaged, and successful on the platform Contribute ideas to dashboards and workflows to track your book of business - renewal timelines, health signals, engagement levels, and expansion indicators - so nothing falls through the cracks With guidance of leadership, drive outreach to customers ahead of renewal, lead those conversations, handle objections, and negotiate terms on flat renewals and smaller expansions, looping in Sales when a meaningful expansion opportunity emerges. Track and forecast your renewal book on a rolling basis, proactively surfacing risks and creating plans to address them before they become problems Use product usage data and customer outcomes to demonstrate value in renewal conversations and ongoing check-ins Identify opportunities for feature adoption and product expan

About the Team The GSIO Workforce Management Planning Team consists of our Senior Manager, 3 Workforce Managers, multiple Workforce Planners/Schedulers and RTAs. Enjoy a comfortable team-oriented environment where things are always happening at a rapid pace and you can prioritize and organize tasks simultaneously. Manage outcomes and be empowered to make the decisions to lead to those outcomes. Be focused on quality, output-motivated, an extreme achiever who is progressive, and always pushing yourself to be 1% better each day! About the Role As one of DoorDash’s core operations teams, Support Ops is tasked with ensuring that when there are bumps in the last mile there’s always someone there to help make things right. Our team designs, manages and operates DoorDash’s massive and growing global network of support centers, with the ultimate goal of delivering a world-class customer experience every time. As part of DoorDash’s Support Operations Team, we’re looking for an experienced Workforce Planner to help develop and scale our support lines of businesses in the Mexico City area. This role will be a key player in planning our monthly, daily, and hourly staffing levels and ensure we’re providing our customers with best-in-class service with up to date hiring plans. This role will play a vital part in improving forecast accuracy, reporting, and planning around floor staff utilization and efficiency. You’re excited about this opportunity because you will… Build and maintain support capacity plan models at a monthly, weekly, and interval level for a large, 24/7/365 organization. Forecast incoming contacts based on Delivery volume, Mx and Dx onboarding. Analysis on historical data to provide insights that improve support operations. Guide Short-Term staffing adjustments to address current staffing gaps. Work with our operations team to track how our staffing is being implemented and optimized. Make proactive and corrected improvements. Partner with Real Time Analysts for

About the Company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architecture using cloud and open-source technologies. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Offices: New York | Dallas | San Francisco | Lima | Bengaluru. The role below is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle complex business problems and convert them into straightforward data solutions. You will work in a fast-paced, high-impact environment and help shape data, analytics, and AI-led transformation for leading global insurance enterprises. About the Role: Sigmoid is looking to board a Leader for our Insurance Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the insurance space must understand the interconnectedness of insurance products, claims ecosystems, underwriting dynamics, customer journeys, regulatory requirements, and operational processes. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our insurance practice with a strong focus on insurance analytics and AI-led transformation. The role requires a strong portfolio leader responsible for managing strategic accounts across new business development and account growth, while partnering with senior client stakeholders to define analytics use cases across Data Engineering, Data Science, Product Engineering, and Consulting. Roles and Responsibilities: Strong understanding of Insurance sub sectors operating model, value drivers and underlying mechanics Insurance Operations - Ability to

The Team + The Role The Product Design team at Pendo works closely with senior product leaders and sits at the center of product strategy and delivery. The team operates close to both the problem and the build, using LLM-assisted exploration, code-level prototyping, and customer validation before work moves into Figma for systems and polish. Designers ship across a multi-app platform with a high bar for craft, reliability, and product impact. As a Staff Product Designer, you will lead design across the platform and move toward the highest-impact work. You will own projects end-to-end, from problem framing through shipping, partnering with product and engineering to make sophisticated experiences feel simple. AI-assisted workflows are part of how this team works every day, and this role is expected to use, improve, and share those workflows. This role is based in our Raleigh office. What this looks like day-to-day Platform design leadership: Lead design across multiple product areas and own projects from problem framing through shipping. Partner with product and engineering to reduce complexity without losing capability, starting from customer need rather than feature requests. Prototyping and validation: Build interactive prototypes using code-adjacent tools and validate them with real users before engineering investment. Use findings to sharpen flows, surface edge cases, and improve the work before full systemization. AI-integrated workflow: Use AI tools actively across the design process, including LLMs for problem framing and brief development, Cursor and Claude for prototyping, and generative tools for faster interface exploration. Document and share prompts, patterns, and workflows with design and engineering partners. Design systems: Translate and evolve Pendo's design principles into reusable components and patterns. Identify when to extend existing systems and when to push them forward, then drive those decisions with stakeholders. Cross-functional alignment

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Role Overview & Key Responsibilities This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our AI / ML initiatives at Ema. We are seeking an AI / ML technical leader who can take a vision and build it. As a Principal ML Engineer at Ema, you will be a senior technical leader responsible for shaping the machine learning roadmap, architecting large-scale ML systems, driving innovation, and ensuring our mixture of expert models (LLM + SLM + Custom Model) is accurate and performant at scale. You will collaborate across teams (research, product, infra, data, etc.), mentor senior engineers, and influence strategy and execution at company-wide levels. Responsibilities Lead the technical direction of GenAI and agentic ML systems that power enterprise-grade AI agents — spanning reasoning, retrieval, tool use, and integrations across various SaaS products. Architect, design, and implement scalable production pipelines for model training, fine-tuning, retrieval (RAG), agent orchestration, and evaluation — ensuring robustness, latency efficiency, and continuous learning. Define and own the multi-year ML roadmap for GenA

Topgolf is looking for a Unity Developer to join our Games team and help build the next generation of interactive experiences played by millions of Guests across our venues. This role sits at the intersection of game development, real-world sports, connected venues, and large-scale entertainment technology. You will build and ship Unity-based games and experiences that run in Topgolf bays, using ball-tracking data, venue systems, real-time scoring, and engaging game mechanics to create fun, social, competitive gameplay. You will work closely with game designers, artists, UX/UI designers, QA, product owners, and platform engineers to deliver high-quality games from prototype through national rollout, with guidance from senior engineers on more complex technical decisions. Responsibilities Develop, maintain, and optimize Unity games and interactive experiences for Topgolf venues. Build gameplay systems, UI, animation, scoring, camera behavior, effects, and game-state logic. Integrate Unity games with internal Topgolf services, APIs, tracking systems, configuration tools, and venue hardware, with support from senior engineers on architecture decisions. Work with designers and product owners to turn game concepts into playable prototypes and production-ready experiences. Collaborate with artists and technical artists to implement assets, shaders, VFX, animations, and performance-conscious visuals. Support QA by fixing bugs, improving testability, and helping diagnose issues found in venue and local test environments. Write clean, maintainable, well-structured C# code and contribute to code reviews. Help improve build, deployment, and development workflows where needed. Optimize performance for venue hardware and ensure games run reliably in a live entertainment environment. Participate in technical planning, estimation, and sprint ceremonies. Help mai

Role Overview The Executive Assistant at GHX India serves as a cornerstone of executive effectiveness and organizational culture. This role partners directly with senior leadership to keep priorities moving, while also owning the planning and execution of team events and culture programs that make GHX India a great place to work. The ideal candidate is proactive, organized, discreet, and genuinely energized by bringing people together. Key Responsibilities Executive Support for Managing Director of India Manage the calendar of the Managing Director of India, including scheduling meetings. Coordinate domestic and international travel, including flights, hotels, meals, and ground transportation; provide real-time support for itinerary adjustments due to schedule changes or disruptions. Plan and coordinate executive team events, including venue selection, catering, and onsite support; attend events as needed to stay connected with executive and team needs. Prepare, edit, and review documents, presentations, and correspondence with accuracy, clarity, and professionalism. Build comprehensive itineraries for conferences and complex travel schedules. Track and reconcile executive expenses, manage petty cash purchases, and process expense reports. Proactively assess administrative needs, prioritize tasks, and recommend effective solutions to support executive and team operations. Organize and maintain electronic and physical files per GHX Security and Compliance guidelines. Follow all GHX policies including T&E, Compliance, and Security policies. Assist with special projects and perform additional administrative duties as assigned. Culture & Events Plan and execute employee culture and events from concept to close — offsites, celebrations, recognition moments, and milestone gatherings. Partner with leadership and HR to bring the company’s values to life through meaningful, well-run experiences. Collaborate with the Branding and Marketing team to plan, review,

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Sr. AI Engineer: Systems, you’ll serve as an embedded senior back-end engineer on our Speech Team, owning the production systems that turn speech models and third-party capabilities into reliable, scalable experiences for Dialpad’s AI voice agents. You’ll work at the intersection of speech, ML infrastructure, and

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role Dialpad is looking for a Senior Engineering Manager to lead the team at the very core of the Dialpad experience: calling. Reporting directly to the VP of Engineering, you'll own the calling experience end-to-end: frontend, backend, and hardware devices (first-class desk phones, Room Phones, ATAs, and DECT solutions). Y

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Sr. Commercial Counsel, you will serve as a key legal advisor and deal architect for Dialpad's most complex and high-value commercial transactions. You will handle end-to-end negotiation of strategic agreements, provide authoritative guidance on legal risk, and act as a trusted partner to senior business stakehold

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As a Staff Software Engineer, you’ll own the platformization roadmap for shared services, architecting a plan to decouple existing functionality into highly reusable services. Your impactful work helps improve Dialpad’s developer experience, productivity, security, and scalability. This position reports to our Senior D