The Director of Marketing Operations Business Partner defines and leads the marketing operating model to accelerate pipeline growth, execution excellence, and deliver performance insights. This role serves as a strategic partner across Revenue Operations, Sales Technology, Data, and Marketing leadership, guiding the design of scalable processes, measurement frameworks, and systems that align marketing execution with business objectives. Reporting to the VP, this role translates business objectives into operational capabilities and  business requirements. This role influences the roadmap direction, and ensures operational readiness and adoption of marketing capabilities that enable teams to execute effectively. This critical role acts as the operational bridge between Marketing strategy and execution, ensuring programs are measurable, scalable, and aligned to pipeline growth.

Based out of Canada or the United States (In Provinces & States we can hire legally), this role will report into the Vice President, Revenue Strategy & Operations.

WHAT YOU’LL DO:

Strategy & Operating Model

• Design and oversee the implementation of  the marketing operations strategy aligned to revenue and demand priorities
• Establish campaign governance, planning cadence, and execution standards
• Design scalable lifecycle processes across demand, field, and customer marketing
• Partner with Marketing leadership on annual planning, segmentation strategy, and program prioritization

Technology & Data Partnership

• Partner with Sales Technology, RevOps, and Data teams to shape the marketing technology roadmap
• Translate strategic business objectives and operational needs into use cases that guide platform decisions and drive measurable impact. 
• Influence architecture, integrations, and data design to enable lifecycle execution and measurement
• Drive marketing readiness for new capabilities including process design, rollout, and adoption to maximize impact
• Establish frameworks for campaign structure, tracking, and data standards to enable reliable  reporting and attribution
• Translate strategic initiatives into operational and platform requirements that support marketing transformation

Process, Measurement & Execution

• Define KPIs across funnel, pipeline creation, conversion, velocity, and ROI
• Establish attribution approach and performance frameworks
• Deliver executive insights that informs investment decisions, planning and performance optimization

• Standardize campaign intake, build, QA, and launch processes
• Improve lead management, scoring, routing, and lifecycle governance
• Drive automation and operational efficiency

Leadership

• Lead, develop, and evolve the Marketing Operations and analytics team by setting clear expectations, providing coaching and feedback, managing performance, and fostering an inclusive, collaborative environment aligned with organizational goals.
• Define priorities, operating rhythms, and ways of working for the function
• Partner cross functionally to align GTM planning and execution
• Act as strategic advisor to Marketing leadership

WHAT YOU’LL NEED:

• 15+ years in Marketing or Revenue Operations in SaaS environment
• Experience building and scaling marketing operating models in growth stage companies
• Proven experience influencing cross functional strategy and roadmaps
• Strong understanding of funnel management, lifecycle design, and attribution
• Experience supporting planning, forecasting, and pipeline strategy
• Expertise in lead scoring, ABM architecture, and performance measurement
• Experience leading teams and driving operational transformation
• Executive communication and stakeholder alignment skills
• Familiarity with Salesforce, marketing automation platforms, intent platforms (e.g., 6sense), conversation intelligence, and BI tools
• Inclusive Leadership: Builds inclusive, cohesive teams which apply diversity to achieve common goals
• Play to Win: Capably delivers results through others, is good at establishing clear direction, helping others achieve their best work
• Long Range Planning: Identifies key issues and relationships relevant to achieving a long-range goal or vision; Builds an integrated plan for course of action to accomplish this vision
• Enablement: Challenges and supports others to create results but also develop new capabilities. Successfully develops the capacity and capability of team and individuals on the team

WHO YOU ARE:

• Tenacious. You are determined to succeed, and you are motivated by the success of customers, colleagues and the community.
• Curious. You are always learning and seeking ways to make things better.
• Conscientious. You keep your promises, taking your commitments to others seriously, and you have strong integrity.
• Humble. You lead with humility and empathy, respecting and learning from the perspectives of others. 

Your role
We are seeking a talented, experienced Full-Stack Engineer who is passionate about building high-quality, scalable web applications with modern frontend and backend technologies. You will own significant features end-to-end, tackle technical hurdles, and enrich the team with your engineering experience, including mentoring junior engineers. You will guide projects with multiple engineers collaborating to deliver major features. You will work jointly in a cross-functional team, including close collaboration with Product Managers to advocate for technical initiatives for the team.

What you’ll do 

• Develop and maintain Dialpad's web & desktop applications using modern technologies.
• Collaborate with the data science team to build a world-class Agentic AI framework.
• Be able to use AI tools like Claude, Gemini, etc., to build world-class features quickly.
• Write clean, modular, and maintainable code using best practices along with unit tests.
• Participate in code reviews to ensure code quality, maintainability, and scalability.
• Ensure that features are shipped on time and with the highest quality.
• Take on on-call activities to support and resolve issues from QA and customers.
• Be responsible for deploying new releases on a weekly release cadence.
• Collaborate with cross-functional teams (e.g., DevOps, QA, Product, UX) to build and use common components and practices across Dialpad products.
• Mentor junior engineers and help them grow their skills and expertise.
• Communicate technical concepts effectively to both technical and non-technical stakeholders.

Skills you’ll bring

• 6-10 years of experience in full-stack software engineering.
• Strong experience in writing high-performance, reusable, and reliable Python code.
• Strong experience with RESTful APIs.
• Strong experience in modern cloud platforms like GCP or other cloud infrastructures.
• Strong experience in documentation for architectural designs, technical decisions, and best practices.
• Experience with modern frontend frameworks such as Vue/React, as well as HTML, CSS, JavaScript, and TypeScript.
• Experience with databases, SQL/NoSQL.
• Experience in mentoring junior engineers and helping them grow their skills.
• Experience with Agile development methodologies.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.

The Opportunity

We're looking for a Senior Software Engineer to join our Web Data team and help build the next generation of ZoomInfo's web crawling and data extraction infrastructure.

This is a hands-on engineering role with high impact. You'll work alongside experienced engineers building large-scale crawling and extraction systems that process billions of pages. Your day-to-day will involve solving real distributed systems problems, writing production code, and shipping features that directly impact data quality across the platform.

You'll partner with a dedicated people manager who handles HR and administrative responsibilities, a product manager who connects business needs with technical work, and a senior manager who removes roadblocks and supports career growth. Your focus is on engineering execution, technical excellence, and collaboration.

What You'll Do

As a Senior Software Engineer, you'll contribute to enterprise-scale crawling and extraction platforms that process massive volumes of web data.

You will:

• Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines
• Write clean, production-grade code in Java and Python
• Build and operate ETL/ELT pipelines for large-scale data extraction and transformation
• Work with cloud infrastructure on GCP and AWS, primarily on GKE
• Improve observability, reliability, and operational excellence across the systems you contribute to
• Partner with product and data science teams to deliver impactful solutions
• Contribute to code reviews, documentation, and knowledge sharing across the team
• Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approaches

Must-Have Qualifications

We're prioritizing strong software engineering fundamentals over deep crawling-specific experience. The right candidate is a great engineer first; the domain can be learned on the team.

Software Engineering Fundamentals

• 5+ years of professional software engineering experience building production systems
• Strong CS fundamentals: algorithms, data structures, concurrency, distributed systems
• Proficiency in Java and/or Python
• Track record of owning features end-to-end from design through deployment and operation
• Comfortable making sound architectural decisions at the component level

Data Engineering

• Hands-on experience with cloud data warehouses such as BigQuery or Snowflake
• Experience designing and operating large-scale ETL/ELT pipelines
• Experience with orchestration tools such as Apache Airflow
• Experience with streaming or event-driven systems such as Apache Kafka

Cloud and Infrastructure

• Production experience on GCP (preferred) or AWS; multi-cloud exposure is a plus
• Hands-on experience with Kubernetes (GKE/EKS) for distributed workloads
• Familiarity with infrastructure-as-code tooling such as Terraform

Background and Mindset

• Strong communicator who can explain technical decisions clearly
• Comfortable operating in ambiguity and iterating quickly
• Bias toward action and pragmatic problem solving
• Self-starter who thrives in fast-paced, evolving environments

Nice to Have

• Experience with web crawling at scale (Scrapy or similar frameworks)
• Familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques
• Experience in extracting structured and unstructured web data from diverse site architectures
• Knowledge of SERP (Search Engine Results Page) extraction
• Comfort with AI/LLM-based extraction approaches, applying language models to HTML at scale
• Experience working in a B2B data company or data-as-a-product environment

Core Technical Stack

• Java and Python
• Apache Kafka
• GCP (BigQuery, GKE, Vertex AI)
• Snowflake and Starburst/Trino
• Terraform
• Scrapy and web scraping frameworks
• Proxy management systems
• Distributed systems and Kubernetes
• Apache Airflow
• Large-scale ETL pipelines

Ideal Profile

• 5+ years of software engineering experience
• Experience operating systems that process meaningful volumes of data
• Strong CS fundamentals (algorithms, data structures, distributed systems)
• Excellent communicator who can explain complex ideas to diverse audiences
• Passion for solving hard problems and building elegant, scalable systems
• Self-starter who thrives in fast-paced, evolving environments
• Experience working in a B2B data company or data-as-a-product environment is a strong plus

Why This Role Matters

This role sits at the heart of ZoomInfo's data platform. You'll contribute to the infrastructure that powers our business intelligence products and help shape how web data acquisition is done at ZoomInfo, while working at a massive scale with cutting-edge technologies.

You'll be joining at a pivotal moment: the team is growing, the ambition is high, and there's a real opportunity to make a lasting impact and grow into deeper technical leadership over time.

#LI-AR2

#LI-REMOTE

Our co-op experience is unique and designed to prepare you for professional success as you work on real, impactful work from the beginning...not features that may be mothballed after 8 months of hard work! Our ultimate goal is to give you the mentorship, training, and work experience you need to start your career. A number of our students return to us after they graduate and start developing their professional career at Visier! 

And we use state-of-the-art technology to build our innovative full-stack software solution that helps people see the truth and drives organizations to perform their best. We use a variety of frontend technologies including Angular, NgRx, Play Framework, TypeScript, Less, and others. We deal with large volumes of data every day. And in our backend areas we work with technologies like Scala, Kafka, Consul, Cassandra DB, Docker, AWS, etc. So, you’ll be developing knowledge and skills that are transferable anywhere.

What you'll be doing...

• Writing production-level code that will directly impact customers
• Implementing cool new features
• Fixing complex bugs
• Collaborating with people in all stages of the software development cycle

What you'll bring to the table...

• Coding skills in relevant programming languages (for example, like Java, JavaScript, Typescript, Scala or other similar languages)
• Coding skills in writing functional tests (eg using Selenium and ScalaTest)
• Knowledge of data structures and algorithms
• Attention to detail, tendency to spot mistakes and identify potential improvements
• Knowledge of web technologies (REST, HTML/CSS, JSON, Angular) is an advantage
• Knowledge of relational and non-relational databases and SQL language

The base pay range for this position in Canada is $3,600 - $4,500 per month. 

Databricks is on a mission to simplify and democratize data and AI — 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 solve 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 Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• 5+ years of experience with HTML, CSS, and JavaScript.
• Passion for user experience and design and a deep understanding of front-end architecture.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
• 5+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
• Good knowledge of SQL.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience developing large-scale distributed systems.

At Databricks, we’re passionate about enabling data teams to solve the world’s toughest problems — from accelerating medical breakthroughs to building the next generation of intelligent products. We do this by creating the world’s best Data Intelligence Platform, empowering customers to turn massive data into deep, actionable insights.

Founded by engineers and driven by innovation, we’re obsessed with designing intuitive, high-performance user experiences that make complex data exploration simple and approachable.

As a Senior Frontend Engineer focused on Dashboards, you’ll build intuitive and scalable end-to-end experiences that help users create, explore, and share insights from data. You’ll work across the frontend, partnering with designers, product managers, and engineers to develop the next generation of dashboards, interactivity, and analytical workflows within Databricks.

What You’ll Do

• Design and build intuitive, high-performance experiences for creating and editing dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic modeling.
• Partner closely with design and product to translate complex analytical concepts into polished, intuitive, and efficient dashboard experiences.
• Drive innovation in how Databricks users interact with data, enabling seamless and responsive exploration at scale.
• Own frontend development for core dashboard workflows, with a focus on usability, performance, accessibility, and reliability.
• Help shape the architecture, abstractions, and platform foundations that support a broad range of dashboarding and analytical use cases.
• Collaborate with backend engineers and adjacent teams to define APIs, data models, and contracts that power interactive and scalable dashboard experiences.

What We Look For

• 5+ years of professional software engineering experience, with strong experience building both frontend and backend systems.
• Expertise in modern frontend development with HTML, CSS, JavaScript/TypeScript, and React, or similar frameworks.
• Deep understanding of UX principles, accessibility, and responsive design for data-heavy interfaces.
• Experience designing scalable systems and abstractions that support interactive, high-performance product experiences.
• Proven ability to collaborate cross-functionally and deliver impactful user-facing features.
• Experience building dashboards, analytics, data exploration, authoring tools, or business intelligence products is a plus.
• Familiarity with SQL authoring, custom calculations, semantic modeling, or related analytical workflows is a plus.
• Experience with cloud technologies such as AWS, Azure, GCP, or Kubernetes is preferred.

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

Databricks is on a mission to simplify and democratize data and AI — 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 solve 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 Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products.

Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI.  

We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we’re bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including:

• Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This creates new challenges across the entire data processing pipeline, including ingestion, indexing, processing, and the user experience itself.
• AI/BI - AI/BI is redefining Business Intelligence for the AI age. We launched this product last summer and have already seen tremendous adoption (98.7% of our data warehousing customers are already using AI/BI!). From rich dashboarding and advanced visualizations to powerful talk-to-your-data solutions, the products we are building involve exciting technical challenges across the entire stack. 
• Unity Catalog Business Semantics - Context is everything for AI. For enterprise data, that context needs to be governed and managed, which is what Unity Catalog Business Semantics offers. We recently launched our first Semantics modelling capability, Unity Catalog Metrics, this past Data + AI Summit but we have a lot more in store. Engineers on this team work at the intersection of large scale distributed systems, data modeling, governance, and AI enablement.
• Databricks Apps - Databricks Apps is one of the fastest growing products at Databricks, used by more than 2,500 customers who have created more than 20,000 apps — and it was only GA’ed this past June. The Apps team is one of the few teams that are exposed to low-level platform components (k8s, networking), owns fundamental tech (apps runtime and proxy), and is heavily investing in app builder AI agents.

What we look for:

• 10+ years of experience with HTML, CSS, and JavaScript.
• Passion for user experience and design and a deep understanding of front-end architecture.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value.
• Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember).
• 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go).
• Good knowledge of SQL.
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes.
• Experience developing large-scale distributed systems.

Position Summary

You’ll operate as a senior individual contributor and the de facto technical lead across our marketing web properties—owning architecture direction, enforcing coding standards, driving performance excellence, and accelerating high-quality feature delivery. You’ll mentor and oversee contractors, elevate engineering practices, and ensure our WordPress + modern JavaScript stack remains fast, maintainable, and experimentation-ready.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

In this role, you will be responsible for:

• Architecture Ownership: Evaluate, refactor, and evolve the WordPress/PHP and frontend JavaScript architecture to ensure scalability, maintainability, and performance across all marketing web properties.
• Coding Standards & Governance: Establish and document front-end/back-end standards (PHP, JS, HTML, CSS, performance, security basics); drive adoption through PR reviews and mentoring.
• Performance Optimization: Partner with WebOps to enhance site performance.
• Feature Delivery: Plan and implement new site features, embedding best practices for performance, accessibility, and maintainability in every release.
• Code Review & Quality: Maintain timely PR reviews, strengthen automated testing across unit, integration, and end-to-end levels, and ensure regressions are detected early through robust review and test practices.
• Technical Leadership: Provide direction, unblock issues, and ensure consistent output quality.
• Tech Debt Management: Systematically reduce technical debt by refactoring outdated templates, consolidating redundant scripts, and eliminating non-standard plugin dependencies to enhance platform stability and scalability.
• Analytics & Experimentation Enablement: Design, implement, and maintain robust tracking infrastructure and data layer taxonomy to support accurate analytics, event tagging, and A/B testing.

About you 

• 8+ years professional web development experience; 4+ years hands-on WordPress/PHP development at scale.
• Demonstrated lead-level influence (mentoring, establishing standards)
• Deep proficiency in PHP, modern JavaScript (ES6+), HTML5, and CSS3/SCSS, with a strong grasp of code architecture principles (Model-View-Controller). Skilled in asynchronous programming patterns and API integrations (REST/JSON).
• Proven record of improving page performance and Core Web Vitals on marketing or content-heavy sites.
• Testing mindset: comfortable with unit (PHPUnit), integration, and end-to-end (Playwright or similar) test strategies.
• Hands-on experience diagnosing and resolving cross-browser/front-end compatibility issues (Chrome, Safari, Firefox, Edge) and responsive layout bugs across major mobile viewports.
• Experience conducting rigorous code reviews and enforcing coding standards.
• Ability to coordinate and technically lead contractors (provide clear tasks, feedback, quality gates).
• Ability to context switch between architectural work and hands-on feature implementation.

Our benefits package includes:

• Hybrid working model that requires you to be in the Plano office on Monday, Tuesday, and Thursday
• Competitive salary and equity
• Matching 401K
• Extended benefits, Employee Assistance Program, life insurance, AD&D, LTD
• Maternity, Paternity and Fertility Treatment benefits
• 15 days of PTO
• Subsidized lunch on office days
• Fresh fruit, snacks & drinks in office
• Phone/internet allowance 
• Regular company-wide social events
• Multiple ERG groups celebrating our diversity and creating an inclusive culture

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

#LI-Hybrid

Position Summary

You’ll operate as a senior individual contributor and the de facto technical lead across our marketing web properties—owning architecture direction, enforcing coding standards, driving performance excellence, and accelerating high-quality feature delivery. You’ll mentor and oversee contractors, elevate engineering practices, and ensure our WordPress + modern JavaScript stack remains fast, maintainable, and experimentation-ready.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

In this role, you will be responsible for:

• Architecture Ownership: Evaluate, refactor, and evolve the WordPress/PHP and frontend JavaScript architecture to ensure scalability, maintainability, and performance across all marketing web properties.
• Coding Standards & Governance: Establish and document front-end/back-end standards (PHP, JS, HTML, CSS, performance, security basics); drive adoption through PR reviews and mentoring.
• Performance Optimization: Partner with WebOps to enhance site performance.
• Feature Delivery: Plan and implement new site features, embedding best practices for performance, accessibility, and maintainability in every release.
• Code Review & Quality: Maintain timely PR reviews, strengthen automated testing across unit, integration, and end-to-end levels, and ensure regressions are detected early through robust review and test practices.
• Technical Leadership: Provide direction, unblock issues, and ensure consistent output quality.
• Tech Debt Management: Systematically reduce technical debt by refactoring outdated templates, consolidating redundant scripts, and eliminating non-standard plugin dependencies to enhance platform stability and scalability.
• Analytics & Experimentation Enablement: Design, implement, and maintain robust tracking infrastructure and data layer taxonomy to support accurate analytics, event tagging, and A/B testing.

About you 

• 8+ years professional web development experience; 4+ years hands-on WordPress/PHP development at scale.
• Demonstrated lead-level influence (mentoring, establishing standards)
• Deep proficiency in PHP, modern JavaScript (ES6+), HTML5, and CSS3/SCSS, with a strong grasp of code architecture principles (Model-View-Controller). Skilled in asynchronous programming patterns and API integrations (REST/JSON).
• Proven record of improving page performance and Core Web Vitals on marketing or content-heavy sites.
• Testing mindset: comfortable with unit (PHPUnit), integration, and end-to-end (Playwright or similar) test strategies.
• Hands-on experience diagnosing and resolving cross-browser/front-end compatibility issues (Chrome, Safari, Firefox, Edge) and responsive layout bugs across major mobile viewports.
• Experience conducting rigorous code reviews and enforcing coding standards.
• Ability to coordinate and technically lead contractors (provide clear tasks, feedback, quality gates).
• Ability to context switch between architectural work and hands-on feature implementation.

Our benefits package includes:

• Hybrid working model that requires you to be in the Plano office on Monday, Tuesday, and Thursday
• Competitive salary and equity
• Matching 401K
• Extended benefits, Employee Assistance Program, life insurance, AD&D, LTD
• Maternity, Paternity and Fertility Treatment benefits
• 15 days of PTO
• Subsidized lunch on office days
• Fresh fruit, snacks & drinks in office
• Phone/internet allowance 
• Regular company-wide social events
• Multiple ERG groups celebrating our diversity and creating an inclusive culture

Base Salary Range: $96,000 - $120,000 CAD annually.

Bonus: Target bonus 10% of base salary. Bonus entitlement is based on a combination of organizational results, individual performance, and relative contribution, as assessed by Tipalti in its sole discretion, to be formalized and communicated to you following your start date.

The compensation information, above, reflects our reasonable expectation for this role based on several factors, including current market conditions. Final compensation will be determined through individual assessment of experience, skills, qualifications, and other job-relevant factors. Actual offers may vary within or, only in exceptional circumstances, outside the stated range based on the candidate's unique qualifications and our comprehensive evaluation process. We are committed to equitable compensation practices in compliance with applicable employment laws

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

#LI-Hybrid

Position Summary

You’ll operate as a senior individual contributor and the de facto technical lead across our marketing web properties—owning architecture direction, enforcing coding standards, driving performance excellence, and accelerating high-quality feature delivery. You’ll mentor and oversee contractors, elevate engineering practices, and ensure our WordPress + modern JavaScript stack remains fast, maintainable, and experimentation-ready.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

In this role, you will be responsible for:

• Architecture Ownership: Evaluate, refactor, and evolve the WordPress/PHP and frontend JavaScript architecture to ensure scalability, maintainability, and performance across all marketing web properties.
• Coding Standards & Governance: Establish and document front-end/back-end standards (PHP, JS, HTML, CSS, performance, security basics); drive adoption through PR reviews and mentoring.
• Performance Optimization: Partner with WebOps to enhance site performance.
• Feature Delivery: Plan and implement new site features, embedding best practices for performance, accessibility, and maintainability in every release.
• Code Review & Quality: Maintain timely PR reviews, strengthen automated testing across unit, integration, and end-to-end levels, and ensure regressions are detected early through robust review and test practices.
• Technical Leadership: Provide direction, unblock issues, and ensure consistent output quality.
• Tech Debt Management: Systematically reduce technical debt by refactoring outdated templates, consolidating redundant scripts, and eliminating non-standard plugin dependencies to enhance platform stability and scalability.
• Analytics & Experimentation Enablement: Design, implement, and maintain robust tracking infrastructure and data layer taxonomy to support accurate analytics, event tagging, and A/B testing.

About you 

• 8+ years professional web development experience; 4+ years hands-on WordPress/PHP development at scale.
• Demonstrated lead-level influence (mentoring, establishing standards)
• Deep proficiency in PHP, modern JavaScript (ES6+), HTML5, and CSS3/SCSS, with a strong grasp of code architecture principles (Model-View-Controller). Skilled in asynchronous programming patterns and API integrations (REST/JSON).
• Proven record of improving page performance and Core Web Vitals on marketing or content-heavy sites.
• Testing mindset: comfortable with unit (PHPUnit), integration, and end-to-end (Playwright or similar) test strategies.
• Hands-on experience diagnosing and resolving cross-browser/front-end compatibility issues (Chrome, Safari, Firefox, Edge) and responsive layout bugs across major mobile viewports.
• Experience conducting rigorous code reviews and enforcing coding standards.
• Ability to coordinate and technically lead contractors (provide clear tasks, feedback, quality gates).
• Ability to context switch between architectural work and hands-on feature implementation.

Our benefits package includes:

• Hybrid working model that requires you to be in the Plano office on Monday, Tuesday, and Thursday
• Competitive salary and equity
• Matching 401K
• Extended benefits, Employee Assistance Program, life insurance, AD&D, LTD
• Maternity, Paternity and Fertility Treatment benefits
• 15 days of PTO
• Subsidized lunch on office days
• Fresh fruit, snacks & drinks in office
• Phone/internet allowance 
• Regular company-wide social events
• Multiple ERG groups celebrating our diversity and creating an inclusive culture

Base Salary Range: $96,000 - $120,000 CAD annually.

Bonus: Target bonus 10% of base salary. Bonus entitlement is based on a combination of organizational results, individual performance, and relative contribution, as assessed by Tipalti in its sole discretion, to be formalized and communicated to you following your start date.

The compensation information, above, reflects our reasonable expectation for this role based on several factors, including current market conditions. Final compensation will be determined through individual assessment of experience, skills, qualifications, and other job-relevant factors. Actual offers may vary within or, only in exceptional circumstances, outside the stated range based on the candidate's unique qualifications and our comprehensive evaluation process. We are committed to equitable compensation practices in compliance with applicable employment laws

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

#LI-Hybrid

About this position:

We’re looking for a Senior SEO Manager to lead Later’s organic growth engine and drive measurable impact across demand generation. In this role, you’ll be both a strategic leader and a hands-on practitioner—developing and executing SEO strategies that grow qualified traffic, improve conversion rates, and strengthen Later’s authority in the creator and social media space.
Reporting to the VP of Demand Generation, you’ll own Later’s SEO roadmap, partner cross-functionally with Web, Product Marketing, and Content teams, and set high standards for technical and content-driven SEO execution. This is a critical, high-visibility role across all lines of business (Later Influence, Later Social, and Mavely) with direct impact on revenue growth and regular exposure to senior leadership. 

What you'll be doing:

Strategy

• Own Later’s full SEO strategy across technical, on-page, content, off-site, and AI search to drive sustainable, high-quality organic growth across all three lines of business.
• Define SEO goals, KPIs, and reporting frameworks that connect performance to revenue growth.
• Provide actionable insights to Demand Gen, the broader marketing team, and senior leadership on trends, opportunities, and performance.

Technical/ Execution

• Lead keyword research, content gap analysis, SERP opportunity assessments, and AI search opportunities to inform actionable strategy.
• Create and deliver SEO-driven content plans, including briefs, page structures, and leveraging proprietary data for E-E-A-T methodology.
• Execute advanced on-page optimizations (metadata, internal linking, schema, site architecture).
• Manage technical SEO initiatives—site speed, Core Web Vitals, structured data, crawl/indexation, and CMS optimization (Contentful).
• Build scalable frameworks for monitoring rankings, visibility, and performance across key search queries.
• Drive off-page SEO efforts, including authority-building strategies and high-quality backlink acquisition.
• Regularly audit and revitalize content for freshness, keyword alignment, and competitive differentiation.
• Partner with Analytics and Data teams to ensure Amplitude, GA4, and GSC insights fuel revenue-focused decisions.

Team / Collaboration

• Serve as Later’s SEO lead, collaborating with Web, Content, and Creative teams to deliver integrated campaigns.
• Partner with Content on an SEO-driven content plan, embedding E-E-A-T methodology and 10x competitor strategy.
• Partner with Web for technical SEO, site health, and on-site optimizations.
• Partner with Product Marketing to embed SEO into GTM motions and campaign planning.
• Mentor junior SEO contributors (current or future) and establish SEO best practices across teams.
• Contribute to weekly, monthly, and quarterly planning within Demand Gen and cross-functionally.

Leadership

• Act as the hands-on manager and subject matter expert for SEO at Later.
• Balance day-to-day execution with setting strategy, frameworks, and processes for scalable growth.
• Foster a culture of testing, learning, and continuous optimization.

Research/Best Practices

• Stay ahead of evolving SEO landscapes including AI search (GEO, SGE, Perplexity, ChatGPT Overviews) and voice/social search.
• Monitor competitors and industry leaders, identifying opportunities to differentiate Later.
• Share insights and evangelize SEO best practices across Marketing and Growth teams.

What success looks like:

• Within the first 90 days, you’ve delivered a full SEO audit, identified quick wins, launched initial priority initiatives, and built dashboards that clearly connect SEO performance to revenue.
• By 6 months, SEO is driving measurable growth in trials, mid-market/enterprise leads, and creator sign-ups, with best practices embedded across Content, Web, and Marketing.
• Later consistently ranks on the first page (and top 3) for high-priority keywords across all lines of business, with improvements in Core Web Vitals, site speed, and indexation.
• Later is recognized as an authority in the space, with high-quality backlinks, top-tier press mentions, and a scalable roadmap for continued growth in AI and emerging search channels.

What you bring:

• 5–7+ years of SEO experience with proven impact in SaaS, PLG, or B2B tech environments.
• Track record of driving measurable growth through SEO (traffic, conversions, pipeline).
• Advanced proficiency in on-page, off-page, and technical SEO.
• Hands-on experience with tools such as SEMrush, Ahrefs, Screaming Frog, Moz, GSC, GA4, Amplitude.
• Strong background with CMS platforms (preferably Contentful), including structuring and optimizing workflows.
• Experience managing authority-building efforts and backlink acquisition.
• Strong analytical skills; comfortable with keyword data, content performance, and attribution.
• Excellent communication and collaboration skills; able to influence across technical and creative teams.
• Familiarity with Generative Engine Optimization (GEO) and AI-powered search visibility.
• Experience in creator/social media marketing space.
• Knowledge of Google Tag Manager, A/B testing tools, or data visualization platforms (Looker, Supermetrics).
• Basic knowledge of HTML, CSS, and JavaScript.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 130,000 - $ 155,000 USD

#LI-Hybrid

About this position:

We’re looking for a Senior SEO Manager to lead Later’s organic growth engine and drive measurable impact across demand generation. In this role, you’ll be both a strategic leader and a hands-on practitioner—developing and executing SEO strategies that grow qualified traffic, improve conversion rates, and strengthen Later’s authority in the creator and social media space.
Reporting to the VP of Demand Generation, you’ll own Later’s SEO roadmap, partner cross-functionally with Web, Product Marketing, and Content teams, and set high standards for technical and content-driven SEO execution. This is a critical, high-visibility role across all lines of business (Later Influence, Later Social, and Mavely) with direct impact on revenue growth and regular exposure to senior leadership. 

What you'll be doing:

Strategy

• Own Later’s full SEO strategy across technical, on-page, content, off-site, and AI search to drive sustainable, high-quality organic growth across all three lines of business.
• Define SEO goals, KPIs, and reporting frameworks that connect performance to revenue growth.
• Provide actionable insights to Demand Gen, the broader marketing team, and senior leadership on trends, opportunities, and performance.

Technical/ Execution

• Lead keyword research, content gap analysis, SERP opportunity assessments, and AI search opportunities to inform actionable strategy.
• Create and deliver SEO-driven content plans, including briefs, page structures, and leveraging proprietary data for E-E-A-T methodology.
• Execute advanced on-page optimizations (metadata, internal linking, schema, site architecture).
• Manage technical SEO initiatives—site speed, Core Web Vitals, structured data, crawl/indexation, and CMS optimization (Contentful).
• Build scalable frameworks for monitoring rankings, visibility, and performance across key search queries.
• Drive off-page SEO efforts, including authority-building strategies and high-quality backlink acquisition.
• Regularly audit and revitalize content for freshness, keyword alignment, and competitive differentiation.
• Partner with Analytics and Data teams to ensure Amplitude, GA4, and GSC insights fuel revenue-focused decisions.

Team / Collaboration

• Serve as Later’s SEO lead, collaborating with Web, Content, and Creative teams to deliver integrated campaigns.
• Partner with Content on an SEO-driven content plan, embedding E-E-A-T methodology and 10x competitor strategy.
• Partner with Web for technical SEO, site health, and on-site optimizations.
• Partner with Product Marketing to embed SEO into GTM motions and campaign planning.
• Mentor junior SEO contributors (current or future) and establish SEO best practices across teams.
• Contribute to weekly, monthly, and quarterly planning within Demand Gen and cross-functionally.

Leadership

• Act as the hands-on manager and subject matter expert for SEO at Later.
• Balance day-to-day execution with setting strategy, frameworks, and processes for scalable growth.
• Foster a culture of testing, learning, and continuous optimization.

Research/Best Practices

• Stay ahead of evolving SEO landscapes including AI search (GEO, SGE, Perplexity, ChatGPT Overviews) and voice/social search.
• Monitor competitors and industry leaders, identifying opportunities to differentiate Later.
• Share insights and evangelize SEO best practices across Marketing and Growth teams.

What success looks like:

• Within the first 90 days, you’ve delivered a full SEO audit, identified quick wins, launched initial priority initiatives, and built dashboards that clearly connect SEO performance to revenue.
• By 6 months, SEO is driving measurable growth in trials, mid-market/enterprise leads, and creator sign-ups, with best practices embedded across Content, Web, and Marketing.
• Later consistently ranks on the first page (and top 3) for high-priority keywords across all lines of business, with improvements in Core Web Vitals, site speed, and indexation.
• Later is recognized as an authority in the space, with high-quality backlinks, top-tier press mentions, and a scalable roadmap for continued growth in AI and emerging search channels.

What you bring:

• 5–7+ years of SEO experience with proven impact in SaaS, PLG, or B2B tech environments.
• Track record of driving measurable growth through SEO (traffic, conversions, pipeline).
• Advanced proficiency in on-page, off-page, and technical SEO.
• Hands-on experience with tools such as SEMrush, Ahrefs, Screaming Frog, Moz, GSC, GA4, Amplitude.
• Strong background with CMS platforms (preferably Contentful), including structuring and optimizing workflows.
• Experience managing authority-building efforts and backlink acquisition.
• Strong analytical skills; comfortable with keyword data, content performance, and attribution.
• Excellent communication and collaboration skills; able to influence across technical and creative teams.
• Familiarity with Generative Engine Optimization (GEO) and AI-powered search visibility.
• Experience in creator/social media marketing space.
• Knowledge of Google Tag Manager, A/B testing tools, or data visualization platforms (Looker, Supermetrics).
• Basic knowledge of HTML, CSS, and JavaScript.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 130,000 - $ 155,000 USD

#LI-Hybrid