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Sr Product Quality Engineer Jobs

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For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. AI is reshaping how enterprises buy, adopt, and expand work management platforms — and the conversation is moving faster in EMEA than most vendors are equipped to support. Smartsheet is building a market-leading AI narrative anchored in organizational intelligence, agentic workflows, and the Model Context Protocol (MCP), and this role exists to make that narrative land with EMEA field teams and the enterprise buyers they serve. As a Sr. Product Marketing Manager on the AI GTM Strategy team, you will be the in-region AI product marketing partner for Smartsheet's EMEA sales organization. You will translate the global AI narrative, product roadmap, and enablement infrastructure into regionally activated content, training, and field support — ensuring EMEA account executives, solution engineers, and customer success managers can lead substantive AI conversations that drive pipeline and expansion. This is not a generalist PMM role. You will own the intersection of AI product marketing and regional field activation across EMEA, working at the pace of a rapidly evolving product surface and a field organization that needs to be ahead of the market conversation. The role is hybrid, based at Smartsheet’s corporate offices in London, UK. You will report to our VP, AI Market Strategy. You will own: AI Narrative Activation — EMEA Execute the regional activation of Smartsheet's global AI narrative across EMEA field teams, adapting messaging for market maturity, regulatory context, and competitive dynamics specific to European enterpri

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Pendo
📍 Raleigh• Full-time• From $150K/yr
3mo ago

Sr. Product Manager, Analytics The team + the role Pendo is the AI-powered analytics and adoption platform for builders. The Product team builds the tools that help software teams understand how their products are used, where adoption breaks down, and what drives business outcomes. AI features are increasingly central to the analytics roadmap — surfacing intelligent insights, automating pattern detection, and embedding AI-assisted workflows directly into the product experience. This team is embedded in its own customer base, runs continuous discovery, and treats customer outcomes as the primary measure of whether the work is good. This role owns an analytics product area end-to-end: strategy, roadmap, discovery, and delivery across a globally distributed cross-functional team spanning Raleigh, New York, and Pendo's India-based engineering and product teams. Customer outcomes are the starting point for every significant decision. Discovery is continuous, not episodic. Operating across time zones is a practical requirement — the person in this role adapts their working hours to maintain meaningful overlap with India-based teams and builds the async artifacts that let those teams work independently between overlap windows. This role is based in Raleigh, NC (primary), with New York, NY and East Coast remote candidates also considered. Pendo's hybrid model requires in-office 3 days per week for local candidates. What this looks like day-to-day Own the analytics product roadmap — define priorities, defend tradeoffs with data and reasoning, and keep the long-term direction aligned with enterprise customer needs and the broader Pendo platform. Drive AI-powered capabilities within the analytics area: define what the AI does, how outputs are surfaced, how confidence is communicated, and where human judgment stays in the loop — with the customer problem as the starting point, not the model capability. Run continuous discovery with enterprise customers and India-based product a

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Okta
📍 Bellevue, Washington• Full-time• $169K – $253K/yr
3mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomali

machine learningartificial intelligenceai
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Okta
📍 Toronto• Full-time• C$146K – C$218K/yr
3mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role We are seeking a Senior Product Manager to drive the vision, strategy, and execution for a key product area within the Auth0 Identity Security product line, with a focused mandate on the rapidly evolving domain of Agentic Security. This role sits at the intersection of product strategy, cross-functional leadership, and agile execution — requiring someone who can both shape long-term direction and deliver with precision. We are the team that builds solutions that protect our customer’s Auth0 environments. Our group delivers features such as attack protection, bot detection, adaptive MFA, identity security for AI Agents and related analytics / insights on the effectiveness of our solutions in thwarting attacks from bad actors. The ideal candidate brings direct, hands-on experience in agentic security product management, with a deep understanding of how AI agents are built, orchestrated, and secured. This includes practical knowledge of agentic workflows, MCP servers, agentic tooling, and their use through productivity applications such as Claude Code. A core focus of this role is runtime security & AI agent classification: building real-time detection, behavioral analysis, and protection capabilities for agentic systems. The successful candidate will have command of the OWASP Top 10 for Agentic AI attack vectors and mitigations, and will bring experience in identifying and responding to threats such as prompt injection, agent intent anomali

machine learningartificial intelligenceai
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Pendo
📍 Remote• Full-time• Remote• $145.4K – $175K/yr
4mo ago

The Team + The Role Pendo's Product Marketing team translates what we build into why it matters. The team works at the intersection of product, revenue, and marketing, owning the narratives, positioning, and go-to-market motions that drive pipeline and commercial outcomes. It operates as a small, senior team with high ownership, low overhead, and a strong bias toward work that moves the business forward. Pendo is looking for a Sr. Product Marketing Manager to play a key role in our growing Enterprise business. You will partner closely across Product, Sales, and Marketing to package and position Pendo's offerings as powerful solutions for Enterprise clients. This is an individual contributor role for a builder who can create, test, adapt, and make an immediate impact in a fast-moving, AI-native environment. This is a remote role in the United States. We have offices in San Francisco, CA, Raleigh, NC, or New York, NY. What this looks like day-to-day Enterprise positioning: Own and maintain clear, concise, and impactful solutions messaging for the Enterprise market. Translate Pendo's product capabilities into value-driven narratives that resonate with Enterprise buyers. Cross-functional partnership: Collaborate strategically with Product, PMM, Sales, and Marketing teams to package and position Pendo's offerings for Enterprise clients. Serve as a key conduit between Enterprise go-to-market teams and Product by bringing field feedback into product conversations. Flexible execution: Move fluidly across adjacent work as priorities shift, including solutions marketing, growth-hacker-style experiments, and demand-gen support. Adapt quickly rather than staying in a single fixed lane. AI-enabled GTM: Leverage AI tools and workflows, including building agents, to accelerate research, content creation, and go-to-market execution. Use AI as a practical multiplier for how you work and what you ship. Market research: Conduct in-depth research to define, understand, and articulate t

REMOTEaisalesforcerecruitment
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Databricks
📍 Mountain View• $144.8K – $199.1K/yr
8mo ago

RDQ427R273 Mission At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together. You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle. The impact you will have: Reimagine how users explore data using natural language and AI assistance Design interactions that make AI-generated insights transparent and trustworthy Create experiences that move from exploration → validation → action in minutes Enable collaboration between data engineers, analysts, and business leaders Help define new design patterns for AI-native enterprise software Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape. What we look for: 5+ years of product design work experience. A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines. You’re comfortable talking to strategic customers in key decision-making positions. Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA. Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakehold

pythonreactsql
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Databricks
📍 Seattle• $148.8K – $204.5K/yr
10mo ago

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integr

pythonsqlazure
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Databricks
📍 San Francisco• $156.6K – $215.3K/yr
10mo ago

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments. We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform. You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production. The impact you will have: You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD. You will define how Repos integr

pythonsqlazure
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Databricks
📍 Seattle• $148.8K – $204.5K/yr
11mo ago

RDQ126R51 Mission At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future. We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful. The Impact You Will Have Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible. Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks. Work with academic and learning program partners to support data and AI education through Databricks. Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails. Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements. Define and track success metrics that measure learning engagement and user outcomes. What We Look For 5+ years of product management experience, preferably in data, AI, or developer-focused platforms. Strong customer empathy and passion for creating learning and onboarding experiences that empower users. Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams. Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts. Technical proficiency to collaborate effectively with engineering on data and platform capabilities. Pay Range Transparency Databricks is committed to f

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Databricks
📍 San Francisco• $156.6K – $215.3K/yr
12mo ago

RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic exec

sqlaiExcel
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Databricks
📍 Seattle• $148.8K – $204.5K/yr
12mo ago

RDQ127R236 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are looking for a customer-obsessed, strategic, and action-oriented Sr. Product Manager for the Compute Platform . What’s the Compute Platform? Simply, it’s what powers Databricks workloads - providing customers many types of compute for different types of work - Classic Compute, SQL Warehouses, and Serverless Compute. This platform is mission-critical to many Databricks products and features. This role will be highly cross-functional and deeply technical. It will require coordinating product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: Research, define, and own the product vision, strategy, and roadmap for compute platform features and products (Classic and Serverless) Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. Continually improve efficiency and value for internal stakeholders and external customers though measured and strategic exec

sqlaiExcel
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RDQ426R402 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Product Manager on the Lakeflow Jobs team , you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability. This role requires a deep understanding of orchestration workflows , data pipelines , and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams. The impact you’ll have: Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption. Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience. Collaborate cross-

pythonsqlai
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Databricks
📍 Seattle• $148.8K – $204.5K/yr
14mo ago

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). Proven ability

sqlaiExcel
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Databricks
📍 San Francisco• $156.6K – $215.3K/yr
14mo ago

RDQ127R47 At Databricks, we are passionate about enabling every organization to harness the power of data and AI. Our mission is to build the best platform for developing, deploying, and operating AI applications at scale—so customers can use intelligence to transform their businesses. More about the Team: The Databricks AI team is at the forefront of shaping how enterprises leverage AI. Our mission is to create foundational capabilities that empower customers to develop agents and models, orchestrate complex workflows, and seamlessly integrate AI into their data and applications. The AI industry is evolving rapidly, and our work demands both first-principles thinking and the agility to adapt to these changes. We are not just building features; we are fundamentally transforming how the world builds with AI. The impact you will have: Shape the future of enterprise AI: Define and drive the vision for how Databricks helps customers harness generative AI, agents, and new workloads that don’t exist yet Turn breakthroughs into products : Partner with world-class engineering and research teams to transform cutting-edge AI advancements into practical, trusted tools for millions of users. Expand what’s possible for customers : Engage directly with data and AI leaders to uncover new use cases — then design products that make the once-impossible accessible and repeatable. Be the voice of vision and execution : From concept to launch, you will inspire the roadmap, guide engineering, and tell the story of how Databricks AI is changing what customers can achieve. Build for scale and longevity : Define the strategy and principles that will guide Databricks AI for years, even as the industry evolves at unprecedented speed. What we look for: 5+ years of product management or equivalent experience, preferably with enterprise SaaS or developer platforms. Strong technical background in computer science, AI/ML, or related engineering fields (educational or professional). Proven ability

sqlaiExcel
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D
Databricks
📍 San Francisco• $156.6K – $215.3K/yr
24mo ago

RDQ126R51 Mission At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future. We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful. The Impact You Will Have Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible. Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks. Work with academic and learning program partners to support data and AI education through Databricks. Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails. Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements. Define and track success metrics that measure learning engagement and user outcomes. What We Look For 5+ years of product management experience, preferably in data, AI, or developer-focused platforms. Strong customer empathy and passion for creating learning and onboarding experiences that empower users. Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams. Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts. Technical proficiency to collaborate effectively with engineering on data and platform capabilities. Pay Range Transparency Databricks is committed to f

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