Responsibilities

We're looking for a Product Designer to join our Design team and help shape how users interact with Workato's platform across multiple product areas.

Workato sits at the intersection of powerful automation capabilities and approachable design. You'll work on features spanning builder experiences, platform capabilities, data orchestration, and API management—areas where users are solving real business problems through automation. Your job is to translate that technical depth into clarity, helping both technical and non-technical users build sophisticated automations with confidence.

You'll partner with product managers, engineers, researchers, and other designers across various product areas. We're looking for someone who's energized by technical complexity, comfortable navigating unfamiliar domains, and excited to make powerful tools feel simple.

This is not a pixel-pushing role. We're looking for someone who thinks deeply about how things work, asks good questions, and sweats the details that make an experience feel seamless.

• Own design end-to-end for features across multiple product areas—from early concept exploration to detailed specs and implementation support.
• Design intuitive interfaces for technically complex workflows, making powerful capabilities feel approachable.
• Partner closely with product managers and engineers to define requirements, shape solutions, and ensure what ships matches the design vision.
• Create flows, wireframes, and high-fidelity mockups in Figma that communicate both the big picture and the interaction details.
• Collaborate with researchers to understand user needs and validate design decisions.
• Work with other designers to give and receive feedback, contributing to a culture of craft and continuous improvement.
• Incorporate AI-assisted capabilities into your features thoughtfully, helping users leverage automation intelligence where it adds value.

Requirements

Qualifications / Experience / Technical Skills

• 2+ years of experience designing digital products, ideally in enterprise SaaS, developer tools, or technically complex domains.
• A portfolio that shows how you've tackled complex problems—bonus points for work involving workflows, data pipelines, integrations, or technical configuration interfaces.
• Technical fluency—you're comfortable working on features that involve concepts like data transformations, API configurations, and automation logic. You don't need to code, but you should be able to get up to speed quickly on how systems connect and why users care.
• Strong interaction design instincts. You think in flows, states, and edge cases—not just screens.
• Experience working closely with engineers and understanding implementation constraints.
• Clear communication skills—you can articulate your design rationale and adapt based on feedback.
• Comfort with ambiguity. You can make progress even when requirements aren't fully defined.
• Proficiency in Figma for design and prototyping. Experience with tools like Framer, Cursor, or HTML/CSS prototyping is a plus.
• Familiarity with accessibility best practices (WCAG) is a plus.

For California & New York applicants, the pay for this role begins at $110,000.

To stand out in our hiring process, please take the time to respond to the Job Application Questions below with concise yet informative answers. All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

Job Req ID: 2328

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

We are looking for a Lead ServiceNow Software Engineer who excels at architecting, driving, and governing a strategic ServiceNow platform for 6,000+ users. This role demands technical leadership, the ability to deliver complex initiatives on aggressive timelines, superior prioritization (evaluating business value, risk, and long-term impact), and exceptional collaboration and influence skills.

You will serve as the top-tier technical escalation point, lead large ServiceNow project initiatives, provide mentorship and guidance to the team, lead cross-functional discussions, make final architecture and design decisions, drive platform-wide initiatives, and ensure solutions are scalable, secure, maintainable, and aligned with enterprise strategy.

A day in the life (Responsibilities) 

• Consult on the ServiceNow platform strategy, ensuring scalable, secure, and maintainable solutions for high priority initiatives
• Lead development of complex, platform-wide initiatives, driving execution from design through implementation
• Serve as the top-tier technical escalation point, resolving complex issues across the platform and integrated systems
• Encourage and help implement the use of development standards, architecture principles, and best practices to ensure high-quality, consistent solutions
• Design and oversee integrations with enterprise systems (e.g., identity, HR, and access platforms), while considering reliability, scalability, and performance
• Partner with cross-functional stakeholders to translate business needs into technical solutions
• Mentor and guide engineers, facilitating code and architecture reviews to elevate team capability
• Drive platform innovation and continuous improvement, including automation, AI capabilities, and enhanced user experience

What you'll need to thrive (Requirements)

• Deep expertise in the ServiceNow platform, including advanced scripting, custom application development, modular frameworks, and performance optimization.
• Extensive experience architecting multi-system integrations (REST/SOAP, spokes), ideally including Okta, Workday, and SailPoint.
• Design enterprise-grade data models that align with frameworks like CMDB and CSDM.
• Offer technical and architectural guidance to the ServiceNow process and initiatives by influencing platform design and leading key projects to build scalable, secure solutions.
• Strong proficiency in JavaScript, HTML/CSS, Angular, React, Employee Center development (widgets and UI components), and modern UI/UX patterns.
• 7+ years of progressive ServiceNow development experience, including leading large-scale or platform-wide initiatives in an enterprise setting.
• Proven ability to suggest technical standards, lead code and architecture reviews, and mentor senior and junior engineers.
• Exhibits exceptional communication skills, confidently representing the team to senior stakeholders, explaining complex designs, and guide discussions. 
• Achieved at minimum the ServiceNow Certified System Administrator (CSA) certification.

What will help you stand out (Nonessential Skills/Nice to Haves)

• Experience integrating complex workflows between ServiceNow and Slack.
• Hands-on experience with NowAssist for AI-driven automation and productivity.
• Additional certifications (CAD, Application Developer, etc.) strongly preferred.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Role overview

CarGurus is looking for a Senior User Experience Designer to lead the evolution of our design system to enable faster, more consistent product development across all products and platforms. Ultimately, you will empower our designers and engineers with a high-leverage single source of truth that multiplies output and streamlines the entire development lifecycle. You are the keeper of shared standards — the person who makes it easier for every designer and engineer to ship better work.

What you'll do

• Define, maintain, and evolve components, patterns, and interaction standards that serve the full product surface.
• Partner closely with Engineering on system implementation, architecture decisions, and handoff processes.
• Proactively identify gaps by monitoring how the system is used across products, and close those gaps before they become workarounds.
• Reduce redundant design and development work by standardizing the most common solutions.
• Support design and engineering teams in adopting the system effectively, through documentation, reviews, and direct collaboration.
• Govern the contribution process: how changes get proposed, reviewed, and approved.
• Maintain a healthy system backlog and triage incoming requests with clear prioritization.

What you'll bring

• 7+ years of experience in UX/product design, with at least 4 years focused on design systems
• Proven expertise working with Figma variables and component architecture, including how they map to coded token structures.
• Working knowledge of front-end fundamentals (HTML, CSS) 
• Experience dealing with accessibility standards (WCAG 2.1 AA) and how they inform component design and documentation.
• Strong systems thinking; you naturally see patterns, spot inconsistencies, and design for reuse.
• Demonstrated experience building and scaling a design system, ideally at a product company with multiple teams.
• Ability to balance consistency with flexibility; you know when to standardize and when to leave room for product judgment.
• Comfort working closely with Engineering, including familiarity with how design tokens, component libraries, and handoff tooling work in practice.
• AI-first mindset by proactively integrating LLMs and automation into the design system workflow to reduce manual friction, while maintaining a critical eye for quality and system integrity
• Clear communicator and cross-team influencer — you can get alignment from designers, engineers, and PMs without authority.
• Detail-oriented and reliable; teams depend on the system being accurate and well-documented.
• Comfortable in a governance role: setting standards, running reviews, and saying no when the system integrity is at stake.

Nice to haves

• Hands-on experience with design token pipelines and tooling (e.g., Style Dictionary, Theo, or equivalent).
• Certification in IAAP/WAAS is a distinct advantage.
• Experience with component library tooling, including writing or reviewing component documentation at the code layer.
• Familiarity with version control (Git) and how design system changes move through a development workflow.
  
  

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

About the Role

ZoomInfo is seeking a Senior Data Systems Analyst to become the expert on our company data pipeline—the system that ingests, processes, and profiles millions of company records that power our customers' go-to-market strategies.

In this role, you'll build deep expertise in how our company data flows from acquisition through profiling and output. You'll read code to understand data transformations and system dependencies, bring informed opinions to design conversations with Engineering and Product, and help shape the evolution of our next-generation data infrastructure. As you build mastery of our systems, you'll increasingly lead strategic data improvement initiatives that require both systems thinking and creative problem-solving.

This isn't about building dashboards or SQL reports. This is about understanding data systems at an architectural level, solving ambiguous data challenges, and ensuring our pipeline infrastructure continuously evolves to meet customer needs and maintain competitive advantage.

You'll work closely with other data analysts during an active infrastructure transition period, and as systems stabilize and your expertise deepens, you'll progressively own more of the pipeline architecture and strategic initiatives. This is a role with significant growth runway for someone who wants to become the go-to technical expert on company data systems.

Who You Are

Systems Thinker with Technical Depth: You understand how data systems work, not just what they produce. You've worked with data pipelines, ETL systems, or data processing infrastructure—maybe you've improved one, debugged one, or owned components of one. You can read code (Python, Java, SQL, or similar) well enough to understand data transformations and trace how data flows through systems.

Opinionated Technical Contributor: You don't just execute—you have informed opinions on how things should work. You can assess technical tradeoffs, evaluate whether a proposed solution is feasible, and contribute meaningfully to design conversations with engineers. You're comfortable saying "here's what I think and why" based on your technical understanding.

Growth-Oriented Problem Solver: You're excited to build deep expertise in a complex domain and grow into leading strategic initiatives. You've tackled ambiguous problems that required figuring things out as you went, and you want to expand your project leadership capabilities in a systems-focused environment.

Analytical and Hands-On: You're equally comfortable writing code to analyze data patterns and manually investigating edge cases to understand what's really happening. You dig into details when needed and know when to zoom out to see the bigger picture.

Clear Communicator: You can explain technical complexity to non-technical audiences. You've worked effectively with Engineering, Product, or cross-functional teams, translating between technical constraints and business needs.

Comfortable with Ambiguity: You thrive in evolving environments where priorities shift and problems aren't always well-defined. You maintain momentum and quality even when the path forward isn't perfectly clear.

What You'll Do

In your first 6-12 months, your primary focus will be building deep expertise in our pipeline architecture and contributing to our infrastructure transition. You'll work alongside other analysts who have context on our systems, learning the architecture while bringing fresh perspectives and technical depth. As you gain mastery and systems stabilize, you'll increasingly own pipeline architecture decisions and lead strategic data improvement initiatives.

Build Deep Pipeline & Systems Expertise

• Master our company data pipeline architecture—how data flows from ingestion through profiling, what transforms are applied at each stage, and how components interconnect
• Read and analyze production code to understand data transformations, trace data lineage, and assess how proposed changes would impact the system
• Develop frameworks for evaluating tradeoffs between technical complexity, implementation effort, and customer impact
• Create clear documentation, system maps, and knowledge resources that capture architecture decisions, dependencies, and design rationale

Contribute to Pipeline Evolution & Infrastructure Improvements

• Participate actively in design conversations with Engineering and Product about our next-generation pipeline, bringing data quality insights, technical feasibility assessments, and informed opinions on architectural decisions
• Help validate pipeline improvements through rigorous testing, impact analysis, and hands-on verification of data quality
• Translate data quality investigations and emerging requirements into system-level improvement opportunities
• Collaborate with team members to determine when problems should be solved at the pipeline/profiler level versus through downstream approaches

Solve Complex, Ambiguous Data Challenges

• Lead or contribute to data improvement initiatives that require both systems thinking and creative problem-solving—such as improving location verification across international markets, integrating new data sources, or solving novel data extraction challenges
• Tackle problems where the solution isn't obvious through a blend of code analysis, manual investigation, cross-functional coordination, and iterative problem-solving
• Build and apply repeatable approaches to testing, validation, and root cause analysis

Build Partnerships & Institutional Knowledge

• Develop strong working relationships with Data Acquisition, Product, Engineering, and fellow data analysts
• Conduct impact analyses and validation studies to ensure proposed changes deliver intended outcomes
• Document your learning, approaches, and insights so knowledge is shared and institutional memory builds across the team
• Serve as a technical resource as you develop expertise, helping bridge immediate data quality needs with long-term pipeline capabilities

What You'll Bring

Required

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field
• 5+ years of experience in data analytics, data engineering, or related technical roles
• Experience working with data pipelines, ETL systems, or data processing infrastructure—you understand how data moves through systems and what can go wrong
• Ability to read and understand code (Python, Java, SQL, or similar) to analyze data transformations, understand system logic, and assess technical feasibility
• Strong programming skills in Python and SQL for data analysis and manipulation
• Experience solving ambiguous, multi-faceted data problems that required figuring out the approach, not just executing a well-defined analysis
• Demonstrated ability to work effectively with Engineering and/or Product teams, translating between technical implementation and business/customer needs
• Strong analytical skills with ability to investigate complex issues systematically
• Excellent communication skills—able to explain technical concepts clearly to diverse audiences
• Self-directed with strong ownership mentality—you drive your work forward and know when to seek input

Strongly Preferred

• Experience with company data, business data, web data acquisition, or data quality initiatives
• Experience with data profiling, entity resolution, record linkage, or data matching systems
• Background contributing to system design discussions or technical architecture decisions
• Experience creating technical documentation or knowledge-sharing resources
• Knowledge of web data structures (HTML/DOM), data extraction, or data collection systems
• Experience designing validation strategies or testing frameworks
• Track record of leading or co-leading cross-functional data projects

This Role Is Not a Fit If:

You're looking to focus primarily on business analytics, building dashboards, creating reports, or analyzing business metrics. While you'll do analysis in this role, the core mission is understanding and improving data systems architecture.

This Role Is a Strong Fit If:

You want to become the expert on how data systems work and grow into leading strategic initiatives. You're excited to build deep technical expertise, contribute informed opinions to design decisions, and progressively take on more ownership as you master the domain. You enjoy solving problems where the answer isn't obvious and seeing your work directly improve product capabilities.

#LI-JH1

#LI-Hybrid

Senior Digital Designer, Digital + Brand
US-based, remote position

Real Chemistry is looking for a Senior Designer, Digital & Brand who knows great design isn’t just about making things look good. It’s about creating work with clarity. This role is for a designer who obsesses over the details and keeps asking “what if?”

Your mission:

Help us create work that people remember.

We’re looking for a Senior Designer, Digital + Brand who knows great design isn’t just about making things look good. It’s
about creating work with clarity. This role is for a designer who obsesses over the details, keeps asking “what if?” and can
move fluidly between digital experiences and brand expression.

Your mission is to create standout digital work that connects with people — all in service of making the world a little
healthier.

Who you are:

You’re design-obsessed and deeply invested in craft. You live and breathe creativity and care about quality. You have a
strong foundation and know the essentials inside and out: hierarchy, pacing, scale, composition and typography. You
understand how to use grids and when to break them. And more than shaping how something looks, you think about how
people move through the experience, engage with it and respond to it.

You also know how to translate brand ideas across formats. You’re comfortable developing visual identities, extending
brand systems and designing polished print materials with the same level of rigor you bring to digital work. You
understand that the best designers don’t think in channels — they think in systems, stories and how a brand shows up
consistently everywhere.

You bring your own ideas to the table, but you also take direction well and use feedback to make the work better.

And yes, your biggest weakness might be that you won’t stop until it’s right.

What you’ll do:

• Bring ideas to life through strong visual thinking, storytelling and execution across digital and brand
touchpoints.
• Design campaign websites, microsites and landing pages that are visually compelling and designed to perform.
• Develop and extend brand identities across campaign and corporate expressions.
• Design with user behavior in mind by thinking through how people engage.
• Think beyond the static layout, you’ll design for responsive behavior across desktop, tablet, and mobile.
• Create page layouts and content systems that guide users through a clear story.
• Translate strategic and verbal ideas into ownable visual territories, identity directions and design frameworks.
• Create flexible visual systems that maintain consistency across web, social, print and experiential applications.
• Contribute to design concepting and development, not just execution.
• Collaborate closely with writers, strategists, UX partners, developers and creative leads.
• Stay immersed in design, branding, digital and AI trends.
• Be a student of the craft: experiment with it, master it, enjoy it and help protect it.

Qualifications:

• A compelling portfolio highlighting expertise in digital design, branding, typography and foundational design
principles across both screen and print.
• 5+ years of experience in digital, brand or integrated design roles.
• Strong experience designing websites, landing pages and responsive digital experiences.
• Experience developing brand identities, extending visual systems and applying them across a range of
touchpoints.
• Understanding of digital best practices, including accessibility, responsive behavior and build feasibility.
• Expertise in design software (Adobe Creative Suite, Figma, etc.) and familiarity with AI design tools.
• Strong communication skills and the ability to clearly present design thinking and rationale.
• Comfortable collaborating with developers and speaking build language.
• Working knowledge of HTML and CSS, with the ability to design in a way that is informed by real-world web
behavior and constraints.
• Strong communication skills and the ability to clearly present design thinking and rationale.
• Experience creating prototypes.
• Bonus: Experience in agency environments.

Pay Range: $95,000-$120,000
This is the pay range the Company believes it will pay for this position at the time of this posting.  Consistent with applicable law, compensation will be determined based on job-related, non-discriminatory factors including but not limited to work experience, skills, certifications, and geographical location. The Company reserves the right to modify this pay range at any time. 

Role overview

CarGurus’ Front End Platforms team is hiring an Engineering Manager. The Front End Platform team plays a key role for CarGurus to operate at scale and improve developer efficiency. We are constantly modernizing our technology platform and are looking to define key architectural capabilities, and guide development teams on their successful implementation. The team’s mission is to enable teams to build performant and scalable UIs and lead best practices for Front End Engineering.

What you’ll do

• You’ll manage a team of talented engineers while providing technical leadership and mentorship to the broader team.  Your team is primarily responsible for maintaining our design system and our microservice template for building isomorphic Remix and React applications. 
• Your team’s mission is to enable engineering teams to build highly-performant, scalable, excellent products through advocating for architectural standards and providing common UI libraries and tooling.
• This is a highly visible role that requires you to facilitate and collaborate on multiple cross-team projects at the same time. You will use your leadership expertise to drive groups with disparate interests to decisions, seeing those through to impact. You will make pragmatic decisions, balancing strategic and tactical needs. You will help senior leadership manage risk and make sure we are making the right trade-off decisions.
• Coach your team to accurately estimate and prioritize units of work and drive the incremental release of moderate to large sized projects.  
• Partner with your product manager to define the team’s roadmap.
• Contribute to high level architectural discussions and decisions across multiple areas and teams. 
• Be deeply engaged in the full development lifecycle designing, developing, testing, deploying, maintaining, monitoring, and improving software
• Advocate for new technology and new methodologies
• Have fun as you continuously learn and expand your and your team’s capabilities

What you’ll bring

• Expertise with JavaScript and/or TypeScript, NodeJS Frameworks and libraries, and React
• Direct experience with Remix or Next is a huge advantage.
• Highly proficient with HTML and CSS
• Excellent communicator who can tailor messaging based on audience, which can range from junior engineers to senior business leaders to third-party vendors
• People-focused technical leader with 2+ years of experience
• 5+ years of product software development experience at scale
• Provides constructive and timely performance evaluations
• Strong project management skills, experience with Agile methodologies
• Excellent collaborator with proven experience working in a cross-functional team including Product, Design, Analytics, Marketing
• Detail oriented leader who makes data-driven decisions

Engineering Manager - AI Services (BearQ) 

Hybrid in-office, Somerville, MA 

• We’re looking for a manager to provide technical guidance and career growth mentorship to a full-stack engineering team building an AI-native and autonomous application testing platform named BearQ. 
• The team has a mix of junior and senior engineers with demonstrated ability to perform at a high level and deliver a quality product fast. 
• Front-end: TypeScript, Vue, HTML/CSS 
• Back-end: Typescript 
• Infra: AWS (EC2, S3, RDS, ECS) 

Product intro 

SmartBear’s BearQ platform (https://smartbear.com/product/bearq/) delivers autonomous application testing using AI-native QA agents who explore, understand, validate and report on the application. BearQ agents are always-on and continuously adapt their understanding of the application as it evolves over time. BearQ agents can work alongside established QA teams to augment the team’s work, or they can operate independently to comprehensively test an application. 

BearQ was built entirely in-house from scratch by a small but powerful team of full-stack engineers with expertise in agentic AI and distributed systems. Combining Vision Language Models and asynchronous systems, BearQ agents can test applications across the device spectrum in a highly scalable and tunable way.  

About the role 

As an Engineering Manager you will promote a culture of collaboration and innovation leading to success. Your direct reports will be junior and senior engineers in the U.S., with a mix of onsite and remote employees. You will report to the VP of AI and Architecture. In this role, you are expected to: 

• Direct the technical work for a team of software engineers ranging from front-end to back-end, and junior to senior experience levels. 
• Take a proactive approach to improving the entire software development life-cycle. 
• Leverage modern best practices (e.g., Agile) to manage the delivery of software through continuous deployment, integration and test-driven development, including issue triaging, planning and assigning based on experience and skills. 
• Collaborate cross-functionally with external teams to build relationships that deliver on company goals. 
• Work effectively with product managers, engineers and leadership to grow your team and most effectively meet aggressive business outcomes. 
• Synthesize customer feedback and advise on technical designs for new features. 
• Determine processes and metrics to ensure products are market ready. 
• You will not be expected to author code in this role, but it is required that you maintain a concrete technical understanding of our system and the information flow throughout it. 

We are looking for you if you have:  

• 3+ years managing software development scrum teams 
• Experience in a SaaS-based company with some remote employees 
• At least one year as software engineer in a production role 
• Ability to turn high-level requirements into actionable plans with projected target dates 
• Outstanding proactive communication skills and English fluency 

We value intelligence, humility and hard work – after all, we’re solving complex technical problems! 

Why you should join the SmartBear crew: 

• You can grow your career at every level.  
• We invest in your success as well as the spaces where our teams come together to work, collaborate, and have fun. 
• We love celebrating our SmartBears; we even encourage our crew to take their birthdays off. 
• We are guided by a People and Culture organization - an important distinction for us. We think about our team holistically – the whole person.  
• We celebrate our differences in experiences, viewpoints, and identities because we know it leads to better outcomes.  

Did you know? 

• Our main goal at SmartBear is to make our technology-driven world a better place.  
• SmartBear is committed to ethical corporate practices and social responsibility, promoting good in all the communities we serve.  
• SmartBear is headquartered in Somerville, MA with offices across the world including Galway Ireland, Bath, UK, Wroclaw, Poland and Bangalore, India.  
• We’ve won major industry (product and company) awards including B2B Innovators Award, Content Marketing Association, IntellyX Digital Innovator and BuiltIn Best Places to Work. 

SmartBear is an equal employment opportunity employer and encourages success based on our individual merits and abilities without regard to race, color, religion, gender, national origin, ancestry, mental or physical disability, marital status, military or veteran status, citizenship status, age, sexual orientation, gender identity or expression, genetic information, medical condition, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), or any other legally protected status.