Answer Engine Optimization Lead Jobs

call center executive, also known as a call center representative or contact center agent, is a customer service professional who interacts with customers to help solve issues and provide information: Responsibilities Answer incoming calls, handle customer inquiries, and provide customer service support. They may also process payments, assist with orders, and address complaints. Skills Call center executives should have excellent communication and listening skills, and be able to analyze and solve customer problems. They should also be able to relate to customers from a variety of cultural backgrounds. Qualifications A high school diploma is usually required, and specific training may be an advantage. Other qualifications include attention to detail, time management, and a team player attitude.

The Team + The Role Software is being written faster than ever, and AI coding agents are accelerating how teams build and ship. Novus is Pendo's answer to what happens after software ships: helping fast-moving teams understand what is actually happening in their products and where to focus next. This is a new product, in a new category, for an audience Pendo has not traditionally sold to before: product engineers and application owners building AI-native software. As Lead Product Marketing Manager for Novus, you are the marketing lead and GTM owner for the product. You own the narrative, positioning, demand strategy, community presence, launch moments, and early commercial outcomes end to end. This is a 0-to-1 role for someone who can write the playbook, execute it hands-on, and drive clarity across product, sales, marketing, and leadership. This is a remote role in the US. We have offices in San Francisco, CA, Raleigh, NC, or New York, NY. What this looks like day-to-day Narrative and positioning: Own the messaging, positioning, and talk tracks for Novus, including the breakthrough narrative, category story, and positioning documentation. Keep product, sales, marketing, and leadership aligned as the product and market evolve. End-to-end GTM ownership: Build and run the full go-to-market plan across audience targeting, channel strategy, campaign strategy, sales readiness, launch moments, and success metrics. Own the outcomes rather than handing strategy off to another team. Top-of-funnel and conversion: Partner with revenue marketing to define the acquisition channel mix, run campaigns, and drive early-access signups. Connect demand activity to free-to-paid conversion and early commercial signals. Community building: Build Novus' presence where builders already spend time, including developer forums, social channels, influencer relationships, and event-driven activation. Earn trust with audiences that are skeptical of traditional marketing. PLG motion: Partner with

Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. 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 Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets) Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions) Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops Define how observability data and business data come together to serve unique use cases Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs Work on the product pricing Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools Who you are 5+ years of experience

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” — the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments — kitchens, warehouses, hotel floors, homes — to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more [ here ] What You'll Do Design and deliver on a learning curriculum for the Operations team that aligns with Instawork’s business objectives and scales with a growing organization; coordinate and administer training Develop a comprehensive onboarding program that encourages new team members to provide premier support for Instawork’s customers and internal stakeholders, as well as prepare them for an intensive operational role managing high volume and nuanced customer requests Collaborate with management to create training plans, develop training modules, and facilitate real-time training for Operations new hires and continuing education for tenured specialists Manage the efficacy of new hire onboarding through continuous process planning, execution, and identifying metrics for the Operations learning curriculum Establish methods for measuring and reporting on learner engagement, comprehension, and practical application Provide con

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Role Summary At CVS Health®, you’ll be working with a team of passionate colleagues who care deeply, innovate with purpose, hold themselves accountable and prioritize safety and quality in everything we do. Do you enjoy innovation while having fun doing it? If the answer yes, then this role might be for you! Join us and be part of something bigger, innovative and simplification in healthcare. We are seeking a highly experienced and innovative Principal (Director Level) Software Development Engineer to lead the application architecture, design, development, delivery of next-generation digital applications (including Reporting and financial solutions), and optimization of scalable, secure, and high-performance solutions leveraging AI across all major cloud platforms (AWS, Azure, and GCP). This role requires deep technical expertise, AI-enabled solutions, strategic thinking, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences and a passion for driving excellence in software engineering practices. This is a senior technical leadership role for a hands-on engineer who can operate across the full stack—from intuitive front-end applications to resilient backend services—while setting architectural direction, influencing engineering standards, and mentoring teams. The ideal candidate combines deep technical expertise, platform thin

The Silicon Co-Design Group (SCG) sits at the crossroads of architecture, design, marketing, operations, and productization. Our work spans early architecture through final product delivery across Datacenter, Gaming, Robotics, Automotive, and Embedded markets. We work closely across functions to deliver chips that change what is possible. NVIDIA’s Silicon Co-Design Group is hiring a Chip Lead to serve as the technical lead for one of our most consequential silicon programs! This is not project management, and it is not a senior IC role. You are the person the program partners with on its hardest technical questions — when the right answer is not obvious, and when leadership needs a single technical perspective to align on direction. You are accountable for the technical integrity of the chip end-to-end. You guide co-design feature integration, help resolve the toughest multi-functional bugs, and serve as the project-specific custodian of the qualification playbook. The program runs cleaner because you are on it! What you’ll be doing: You will partner across design, validation, software, and manufacturing to keep the program’s technical narrative clear and on track. Day to day, you will: Serve as the single technical point of contact for multi-functional decisions, issues, and trade-offs. Co-lead program-level feature integration from chip to system, surfacing inter-function dependencies and guiding them to resolution. Help resolve the program’s hardest multi-functional bugs by translating ambiguous, multi-team symptoms into root-cause closure on areas such as HBM, power and thermal, high-speed I/O, and packaging. Steward the qualification playbook. When the playbook does not fit a situation, guide the mitigations and capture the lessons as reusable methodology for other SSG programs. Shape the program’s technical narrative by surfacing key risks, trade

NVIDIA's accelerated computing platforms move data at speeds that push the limits of what silicon and physics allow. Whether a high-speed interface trains reliably, maintains accurate margins, and survives every platform topology it will ever see is a question we answer ourselves. This role does that work. The Silicon Co-Design Group leads the boundary between what was designed and what was built. When a GPU, CPU, or SoC ships with interfaces that work at scale, this team is the reason. Most engineers debug within a layer. You will own the full stack. When an interface fails to train, the link margin is unexpectedly tight, or a customer reports a critical silicon issue, you trace the problem through protocol behavior, signal integrity, firmware, platform topology, and silicon marginalities. You then confirm that the fix works. Your methodology shapes how NVIDIA validates high-speed interfaces across generations. Your decisions affect yield, production ramp, and field quality. This is not a coordination role. The engineers who do it well hold protocol depth and system breadth simultaneously, never lose the thread across hardware, firmware, and software, and have the judgment to know when to go deeper and when to act. They are rare. Should that describe you, read on. What you'll be doing: Own post-silicon bring-up, characterization, validation, and debug of PCIe, NVLink, C2C, and other HSIO interfaces across NVIDIA GPUs, CPUs, and SoCs from first power-on through production readiness. Close the hardest failures. Drive root cause across protocol behavior, signal integrity, firmware and driver interactions, platform topology, and silicon marginalities and own every fix through to confirmation. Define validation strategy. Set test coverage, debug priorities, margining methodology, and stress criteria f

About Zinnov Zinnov is a global management consulting firm that helps organizations make decisions that actually get used — and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven — not opinion-heavy slideware. At Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity. Zinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions — not just presentations. Why Globalization Excellence (GE) Zinnov's Globalization Excellence (GE) practice helps enterprises build and scale Global Capability Centers (GCCs) end-to-end—from Design & Discovery to Build, Scale, and Run . In GE, you don't work in silos. You: Support employer branding initiatives for leading global enterprises. Work alongside consultants, Talent Acquisition teams, and business leaders across GCC advisory and managed services engagements. Contribute to projects that shape talent attraction, employer branding, and organizational growth. Gain hands-on exposure to consulting, communications, and employer branding strategy. This is where creativity meets strategy—and where you'll build the foundation for a successful career in employer branding. About the Role As an Intern – Employer Branding

We are seeking an experienced Paid Media Audience Strategy & Data Architecture Lead to drive audience planning, activation strategy, and data-enabled marketing initiatives across the paid media ecosystem. This role combines strategic audience development with data architecture expertise, helping the organization identify, prioritize, and activate audiences that drive business outcomes. The successful candidate will lead the development of audience frameworks that answer key strategic questions: Who should we target? When should we engage them? Where should we reach them? Why are they valuable? Working closely with Marketing, Analytics, Data Science, Media, and Technology teams, this individual will translate customer insights and business goals into scalable audience strategies while ensuring data is appropriately integrated, governed, and activated across MarTech and AdTech platforms. The ideal candidate is a strategic audience expert who understands how to combine customer insights, first-party data, and marketing technology to develop effective targeting strategies. They can define who to target, when to engage them, where to activate them, and why they matter, while partnering across teams to operationalize those strategies and drive measurable business outcomes. Responsibilities: Audience Strategy & Planning: Develop audience strategies that support customer acquisition, cross-sell, engagement, and retention objectives, define target audience frameworks using customer behavior, lifecycle stage, demographics, transactional data, and behavioral signals, determine the optimal timing, channel, and messaging approach for audience engagement, partner with business stakeholders to identify high-value audience opportunities aligned with strategic priorities and establish audience selection methodologies, segmentation standards, and measurement frameworks. Customer Insights & Audi

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 AI has made it possible to build almost anything. The constraint on great software is no longer engineering capacity, it's judgment about what's actually worth building. Product Managers at Mixpanel build products for customers that help them answer that question, by digging deep into customer problems to answer it themselves. Mixpanel’s Product Managers operate with high ownership and trust. As a team, we focus on helping every builder - not just the ones with a statistics background - get real answers out of messy product data, and make the judgment calls that separate delightful products from bloated ones. We're also our own best customer. The team uses Mixpanel every day to build Mixpanel: testing our own product intuitions against our own data, catching what works and what doesn't before our users ever see it. About the Role Product Managers build valuable products for customers by focusing our engineering and design teams on the problems that matter most. Check out a video demo of our product in action or signup and explore one of our demo datasets. Responsibilities Use insight from customer conversations and Mixpanel's own product data to shape strategy and direction for your product area Align engineering and design teams on the right problems with clear, written communication Work closely with engineering and design to experiment with and ship new capabilities Tell a clear story about what you've shipped - to internal and external audiences - that leads with the customer problem, articulates why it matters, and uses customer stories to make the value tangible Prioritize rut

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: As Revenue Operations Manager, you’ll help build the operational foundation for a fast-scaling GTM team. What you'll do: Own and operate some of our core GTM systems — including Salesforce, sales engagement, marketing automation, and BI tools. Translate GTM requirements into scalable workflows, automations, and processes across Sales, Marketing, Partnerships, and Account Management

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 Security Engineer focused on Product Security and AI, you will help secure Dialpad’s applications, platforms, and AI-powered capabilities throughout the product lifecycle. You will partner closely with software engineers, infrastructure teams, product managers, and AI practitioners to identify risks early, design

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’s QA team ensures the quality and reliability of our AI-first platform across web, mobile, and backend systems. As a QA Automation Engineer, you will be a hands-on contributor responsible for automation execution and quality ownership of specific features/modules, leveraging modern tools and AI-assisted develop

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 . About the team Dialpad's Contact Center QA team owns the quality of the AI-driven services behind our customer engagement platform. We validate that complex features like AI Routing, Digital Agents, and real-time Analytics are genuinely enterprise-grade in scale, reliability, and performance. And we go further, working cross-fun

Drata is building the trust layer between great companies - automating compliance, managing risk, and helping organizations prove trust continuously as they scale. We're Dratanauts: a global crew of 600+ professionals united by a culture that rewards integrity, ownership, and raising the bar, no matter where in the world we're working from. Why Join the Drata Team? At Drata, you're not maintaining legacy compliance software - you're building the agentic AI platform defining what trust looks like for the next generation of companies. Here's what makes the work itself worth showing up for: Problems without a playbook: You'll work at the edge of AI and security, building agentic governance, continuous compliance, and real-time trust verification to solve problems that don't have an established answer yet. You're writing it as you go. Real ownership, not just process: Our values center on owning outcomes and raising the bar, not checking boxes. You're expected to have opinions and back them. A seat at the table: Your perspective is unique and valued. Open debate and diverse viewpoints are built into how decisions actually get made here, at every level. Growth at rocketship speed: Drata is scaling fast, which means scope grows fast too. High performers get more ownership, visibility, and experience. A crew, not just coworkers: Dratanauts consistently describe a "come as you are" culture with sharp, curious people—the kind of team that makes hard problems genuinely fun to solve. See what they say here and follow us on LinkedIn for company news, employee stories, and career updates. Job Summary: Drata is looking for a Staff Data Engineer! This person will be a key member of the growing data team, supporting one of the fastest growing B2B SaaS startups to achieve unicorn status. At Drata, we’re on a mission to help build trust across the internet! Data accuracy is an essential cornerstone of our mission. We are looking for a senior data engineer that can help us strategize