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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represe

awsmachine learningai
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Datalab
📍 New York• Full-time• $220K – $260K/yr
11 days ago

Picture this: an AE walks into the room and introduces you. You do the work to understand the prospect and what it takes to win. You get the deal to a product and technical yes. Then someone else closes it, and the win goes on their record, not yours. Most solutions engineer roles stop at the demo. This one doesn't. The win is yours. At Datalab, solutions engineers are the sales team. The people who know the product best should be the ones asking for the signature and talking price. You'd be one of the first hires on this team, working directly with our leadership team. About Datalab Datalab is an applied research lab in New York. We train our own models to turn documents into data you can verify: scans, dense tables, handwriting, the pages other tools quietly get wrong. Because we own the models, a customer's hard problem becomes a roadmap conversation, not a feature request. Our open source work (Marker, Surya, Chandra) has more than 70,000 GitHub stars. Customers include Anthropic, ElevenLabs, Gamma, Reflection AI, and Legora, along with insurers, financial firms, and healthcare companies. We deploy anywhere from our API to fully air-gapped on-prem. We're a small, founder-led team. You'll have real influence on how we sell and what we build. Day to day You own the deal. Everything below is yours, with the whole team as backup when you want it. Own opportunities from first conversation to signature. Win the technical evaluation: scope the problem, run the proof of concept and design the deployment, whether API, VPC or on-prem. Make the business case to the customer's leadership, not just their engineers. Own pricing and commercial terms. Bring what you learn back to product and engineering, where you'll have real say and sway over what we build. Ideal candidate We care about three things: you're credible with engineers, you can hold your own with a C-suite or other executives, and you can close. We're eager to work with someone who has: Significantly contributed t

aiprocurement
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Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Senior Compliance Officer/Compliance Officer, you'll join the Compliance team in the 2nd line of defence, reporting to Kathrine von Grumbkow, Director of Compliance. The team sits in Copenhagen , but working from Aarhus or Stockholm is also an option. This is a compliance team that gets called early, not last. We cover every regulatory requirement across all the Nordic jurisdictions Lunar operates in, and we're in the room when products are still being shaped - giving support, pushing back, and helping the business find the version that works for customers and regulators. The compliance toolbox here is being built with a tech-first mindset rather than inherited from a decades-old bank, so you'll have real influence over how it takes shape. What will you do? Drive compliance initiatives across the key areas of general banking regulation Be our subject matter expert on two of the following areas: credit, conduct, financial crime prevention, digital operational resilience, or payments Implement and maintain our Compliance Framework, and keep it fit for how Lunar actually works Monitor and assess compliance risks, then turn what you find into recommendations the business can act on Be the sparring partner the business comes to on regulatory questions — supporting, challenging, and advising as products and processes evolve What are we looking for in you? Experience with Danish banking regulation — several years of it for the senior role, less if you're earlier

airecruitment
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Databricks
📍 San Francisco• $223.1K – $306.8K/yr
12 days ago

MKTQ427R49 We're looking for a content lead who sits at the intersection of brand content storytelling and AI-era discoverability. You will own the creation of high-quality and high-volume brand content, ensuring that content is structured, distributed, and measured to win visibility across AI answer engines. You will produce and edit compelling content and employ optimization strategies to make sure LLMs discover, parse, and cite it. You will identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers, map those gaps against business objectives, target audiences, and product priorities, and orchestrate a mix of AI agents, technical writers, and internal teams to close them. A core part of this orchestration is overseeing a system of AI agents that create, optimize, and evaluate content — a task that requires real editorial expertise applied to prompt design and agent engineering, not just tool adoption. You will be responsible for building and maintaining the brand context, target prompts, and writing guidelines that guide agents and internal SMEs to create on-brand, accurate, and authoritative content. A major part of the role is editorial judgment: this includes reviewing drafts from agents and adjusting prompts and inputs to improve output quality. The impact you will have: Within 12–24 months in this role, success looks like: The content roadmap is driven by evidence. You've stood up ongoing GEO/AI answer analysis, and every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent — requiring gap-analysis skills and fluency with GEO/AI-visibility diagnostics. Business priorities and content output are in lockstep. The roadmap (blogs, video, web pages, thought leadership) is visibly built from business objectives, audience search intent, and product priorities, and stakeholders can trace any piece of content back to a prompt that justified it — requiring sharp prioritization judg

aiExcelSEO
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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Department overview: IEE is the central support organisation for UK, Europe, Africa, the Middle East and Australasia, marketing PlayStation products in +100 countries. The Technical Services department is responsible for all returns and repair of PlayStation products across all SIEE Territories. This includes the collection of defective products from consumers and retailers, product screening and diagnosis, the repair, recovery or reuse of products received, and where required, the distribution of product back to consumers and retailers. The Technical Services department also manages all spare parts activities related to repair, the production of refurbished stock, and owns all relationships with Repair Centres, Swap Centres and Logistics Providers. What you’ll be doing: As Technical Product Support Engineer you will be responsible for the ongoing support of our repair centre operations partners in Europe, Africa, Middle East and Australia. You will provide technical and engineering support, manage the development and implementation of repair improvement initiatives, work with our HQ and wider team on the introduction of new models, new diagnostic tools and equipment, and will track and manage partner performance via a set of established

project managementlogistics
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Everpure
📍 Santa Clara• $170K – $255K/yr
12 days ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a Technical Program Manager within our Manufacturing Test Engineering Development team, you will provide single-threaded test program ownership of L6 and L10 testing for NPI, sustaining production, qualifications, and test strategy. While the Operations PM owns the factory and schedule, you own test engineering readiness against that schedule, ensuring test engineering is never the surprise at a gate review. You will differentiate this role by translating build milestones into test deliverables at each assembly level, and feeding real constraints back into planning to empower engineers to focus on technical execution. WHAT YOU'LL DO Maintain an integrated view of every commitment across L6 and L10 NPI, production, qualifications, and test strategy, driving cross-functional dependencies, owners, and timelines in one place. Own gate and checkpoint readiness at every L6 and L10 milestone by tracking test coverage, ICT fixture availability, parts lead times, and test software releases to ensure seamless deployments. Facilitate strategic communication, conflict resolution, and architectural decisions, identifying risks early and arriving at gate reviews with a recommended mitigation path. Absorb status reporting, granular logistics, and dashboard maintenance for team workloads, enabling engineers to remain focused exclusively on technical deliverables. Solve for root causes and refine organizational workflows

aisupply chainlogistics
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Baseten
📍 San Francisco• Full-time• Remote• $150K – $250K/yr
13 days ago

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 ship AI products. THE ROLE We are seeking an experienced and detail-oriented GRC (Governance, Risk, and Compliance) Manager to build, support, and continuously enhance Baseten’s security governance, compliance, and privacy programs. As one of the early members of our security organization, you will play a key role in ensuring our platform meets and exceeds the highest standards for privacy, trust, and regulatory compliance. You’ll work closely with Engineering, Product, Security, and Legal to define compliance requirements, assess platform capabilities, and drive implementation from initial scoping through validation. You will also lead customer assurance efforts, helping customers understand our security architecture and compliance posture while bringing their requirements back into product planning. Alongside this product focus, you’ll contribute to Baseten’s broader GRC program, including governance, risk management, audits, vendor assessments, and security awareness. RESPONSIBILITIES Product Compliance: Translate regulatory, framework, and customer requirements into clear product requirements and technical controls, partnering with Engineering and Product to build compliance into platform design and development. Governance & Policy Development: Design, implement, and maintain security governance frameworks, policies, and procedures that align with Baseten’s risk posture and industry best practices. Risk Management: Build and manag

REMOTEawsgcpmachine learning
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This is an onsite in Las Vegas, NV phlebotomy position. POSITION SUMMARY A Sr Phlebotomist serves patients by identifying the best method for retrieving blood; preparing specimens for laboratory testing; and performing screening procedures. PRIMARY RESPONSIBILITIES Verifies test requisitions by comparing information with nursing station log; bringing discrepancies to the attention of unit personnel. Verifies patient by reading patient identification. Obtains blood specimens by performing venipunctures and finger sticks. Maintains specimen integrity by using aseptic technique, following department procedures; observing isolation procedures. Tracks collected specimens by initialing, dating, and noting times of collection; maintaining daily tallies of collections performed. Maintains quality results by following department procedures and testing schedule; recording results in the quality-control log; identifying and reporting needed changes. Maintains safe, secure, and healthy work environment by following standards and procedures; complying with legal regulations. Resolves unusual test orders by contacting the physician, pathologist, nursing station, or reference laboratory; referring unresolved orders back to the originator for further clarification; notifying supervisor of unresolved orders. Updates job knowledge by participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations. Enhances phlebotomy department and hospital reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments. This role works with PHI on a regular basis both in paper and electronic form and have an access to various technologies to access PHI (paper and electronic) in order to perform the job Employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance traini

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Robinhood
📍 Menlo Park• $294K – $345K/yr
13 days ago

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Brokerage Platform org is the backbone of everything Robinhood trades, clears, and settles. It is the underlying infrastructure that powers every equities trade, every options contract, every event contract, and every crypto transaction that moves through our platform — and it is the foundation on which Robinhood's most important business lines are built. The org spans four deeply interconnected teams: Market Data & Symbology (the real-time and reference data layer that the entire product experience depends on), Trading Platform (core order routing, execution management, and bulk order systems), Clearing (settlement, margin, security lending, cash sweep, and the full back-office operations stack), and Brokerage Infrastructure (the platform layer that enables every product team to move faster through abstractions, reliability investments, and next-generation stack modernization). This org operates 24 hours a day around critical market functions — from market open to trade settlement — and when things go wrong, it matters. As the Director of Engineering, Brokerage Platform , you will lead one of Robinhood's largest and most consequential engineering organizations. You

pythonawsartificial intelligence
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Datadog
📍 New York• $116K – $155K/yr
13 days ago

The Opportunity: Datadog is building the Compensation function to scale with and support one of the fastest growing public companies in tech. We are looking for a creative, data-driven Compensation Specialist to join our team. If you are a problem solver with strong analytical prowess, excellent communication skills, and a genuine passion for data, this role is for you. As a Compensation Specialist, you will contribute to the development and implementation of our compensation approach. You will collaborate with team members to develop analytics tools, automate legacy processes, and help build the future of our compensation strategy. The ideal candidate is enthusiastic, hardworking, and thrives on building business focused solutions through data. 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: Evolve Compensation Strategy: Help us redefine and evolve how we believe about base, variable, and equity compensation structures Advanced Analytics: Apply quantitative and qualitative analysis to identify problems, develop hypotheses, and recommend data-backed solutions for compensation programs and processes Data Visualization & Modeling: Build and develop dynamic dashboards and analytic models to provide actionable business insights and interpret market or internal trends Drive Automation: Streamline and automate monthly, quarterly, and annual compensation reporting and analysis using modern data tools and AI workflows Market Benchmarking: Conduct global market benchmarking, assess peer groups, and ensure consistent market pricing practices while maintaining internal equity. Storytelling with Data: Provide sophisticated compensation recommendations, clearly building data driven insights while tying it back to overall comp strategy Who You Are: Bachelor’s degr

pythonsqlai
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LangChain
📍 United States• Full-time
13 days ago

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Sales Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the plat

javascriptpythonaws
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13 days ago

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the p

javascriptpythonaws
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13 days ago

About Prodigal Prodigal is the connected AI platform leading financial institutions use to run their operations. We work with banks, lenders, credit unions, and other financial companies that lend money to people and manage those relationships over time. These institutions make millions of high-stakes decisions every day. Who should they reach? When should they reach them? What should they say or offer? When should a case move to a human? How should that change based on the borrower, the account, previous interactions, and the regulations involved? Getting those decisions right requires a deep understanding of the people, processes, rules, and edge cases behind them. Prodigal has spent the last eight years building that understanding. More than a billion interactions between financial institutions and their customers have shaped the intelligence, guardrails, and AI agents we now run in production across North America. Today, our AI agents analyze conversations, capture context, guide human agents, decide the next action, conduct customer conversations, orchestrate outreach, and help people complete payments and resolutions. They are connected, so what is learned in one interaction can inform what happens next. We are expanding this swarm of AI agents across more of the work financial institutions do: originations, document processing, back-office workflows, servicing, and other critical operations where money, identity, people, and regulation intersect. We are backed by Y Combinator, Accel, and Menlo Ventures, and work with 100+ financial institutions across North America. Listen directly from our CTO, Cofounder - Sangram Raje The Role This is one of the most critical and demanding roles at Prodigal. As an AI Deployment Lead, you are the person who takes an AI agent from a signed contract to a live, performing system and then keeps it getting better. You sit at the intersection of customer understanding, technical depth, and operational rigor. You own the outcome. Y

aiproject managementfinance
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LangChain
📍 United States• Full-time
13 days ago

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market , shaping how LangChain is adopted in the field and feeding real-world insights back into the p

javascriptpythonaws
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Zscaler
📍 United States• Remote• $140K – $175K/yr
13 days ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Security-Compliance Program Manager to join our team. This is a Remote role, reporting to the Director, Global Security-Compliance Practice in the Global Security Compliance department. Compliance helps Zscaler win. When a Zscaler team member, a customer, or a partner hits a compliance requirement, our practice is who they call trust to answer. You'll be one of the people behind building trust: part advisor, part translator, part teacher. You'll help customers navigate compliance frameworks like Zero Trust, GDPR, NIST, PCI, and HIPAA, and you'll help our field teams turn compliance requirements into relevant, relevant, and winning conversations. In every room you walk into, you'll live at the intersection of security, data protection, and compliance, making the case for how Zscaler protects customers and their data in a compliant way. This is not a back-office audit job. You'll be in front of custo

REMOTEai
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