As a Data Engineer on our BI team, you’ll be a key player in Motive’s growth, delivering the data infrastructure for the AI era. You’ll act as the essential link between complex data and key business domains, delivering the high-quality datasets and semantic models that drive global strategy. This is an exciting opportunity to implement cutting-edge tooling, leverage AI to enhance your workflow, and master a modern data stack in a fast-evolving environment.

This is the perfect role for a "jack of all trades" data practitioner. You’ll design data models, build robust pipelines, manage DevOps and automated systems, and implement AI-driven data tooling. You’ll even get your hands dirty building dashboards and performing deep-dive analysis. If you love working full-stack and owning the entire data lifecycle, you’ll love this role.

What You'll Do:

• Collaborate & Strategize: Partner closely with business stakeholders to understand their challenges and design end-to-end architecture that solves complex business problems.
• Build & Maintain Data Models: Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
• Orchestrate & Automate: Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform to ensure data is fresh, trustworthy, and infrastructure is version-controlled.
• Champion Data Quality: Implement rigorous testing, documentation, and data governance practices to maintain a single source of truth.
• Enable Analytics & Workflows: Act as the Product Owner and Tech Lead for your data domains, taking responsibility for the end-to-end data product delivery– from raw ingestion to data models enabling analytics and data apps in tools like Tableau and Retool.
• Innovate with AI: Help us build our next-generation data infrastructure by integrating AI capabilities (like Snowflake Cortex AI) to democratize analytics and empower the business.
• Architect Observability: Implement monitoring and alerting frameworks (e.g., dbt packages or  Monte Carlo monitors) to proactively catch "silent" data failures before stakeholders do.

What We're Looking For:

• 6+ years of experience in Analytics Engineering, Data Engineering, or a similar role.
• Deep expertise in SQL and developing complex data models for analytical purposes (e.g., dimensional modeling).
• Hands-on experience with:
  • Data Warehousing: High proficiency in Snowflake (preferred) and experience with Open Table Formats like Iceberg.
  • Data Transformation: dbt
  • Orchestration & ETL: Airflow, Fivetran, Airbyte
  • Cloud Platform: AWS
  • Programming/Ingestion: Python
  • Infrastructure as Code: Terraform
  • AI-Augmented Development: Proficiency using AI coding assistants (Cursor, Copilot, or Claude) to accelerate development and automate routine tasks.
• A strong analytical mindset with a proven ability to solve ambiguous business problems with data.
• Excellent communication skills and experience working cross-functionally.
• Self-starter with the ability to self-project manage work
• A user focus with the ability to understand how a data consumer will use the data products you build

Bonus Points (Nice-to-Haves)

• Experience building semantic models for natural language querying
• Direct experience with advanced Snowflake features (e.g., Snowpark, Cortex AI).
• Experience building visualizations and dashboards in tools like Tableau,  Retool, or Thoughtspot.

Team Description:

The Data Engineering Team works closely with other teams—neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers—to build Neuralink’s centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup – rapidly prototyping and building software that solves problems for the company. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role!

 See a talk on our data platform, Neuralake, below:

Job Description and Responsibilities:

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact engineering and experimentation at Neuralink. You will fully own and drive projects, from interfacing with stakeholders and gathering requirements, to delivering exceptional software. Our ideal candidate has accomplished a record of outstanding achievement in software engineering. Additionally, you will be expected to:

• Build end-to-end data systems to facilitate the easy querying of data
• Build and maintain low-latency pipelines and batch data processing jobs
• Create easy-to-use dashboarding platforms for internal data sharing
• Work directly and iteratively with stakeholders to grow MVPs into mature solutions
• Own the design, development, and testing of software development projects
• Deliver results. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works
• Be a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and biological engineers, as well as neuroscientists. You are comfortable communicating across teams.
• Be resourceful, flexible, and adaptable; no task is too big or too small

Jobs at Neuralink are highly dynamic; depending on your skills and our needs, you may work across a wide range of projects, from interpreting neural data to analyzing histology, developing surgical tools, or creating brand-new BCI approaches. Successful candidates will be highly adaptable, able to deploy core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Required Qualifications: 

• Most important: Demonstrated leadership in delivering a product or feature, either as a team leader or key contributor
• Evidence of exceptional ability in software engineering
• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• 1-2 years of experience leading teams and owning the success of a product
• Excellent written and verbal communication skills
• Experience understanding requirements and delivering in an interactive manner
• Experience understanding requirements and delivering iteratively

Preferred Qualifications:

• Experience with building data platforms
• Experience with Python and Rust
• Experience with data analytics systems such as Clickhouse, Delta Lake, Apache Spark, Hadoop, or Snowflake

Note: You do not need to have any of these preferred qualifications in order to be considered for this role! Any exceptional software engineer is encouraged to apply.

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

We are seeking a Senior Manager/Director of Technical Partner Solutions to define the strategic direction and lead the evolution of Braze's technical engagement with Technology (ISV) and Delivery Partners. This leader will scale the ISV function, focusing efforts on high-value technical partnerships and building a scalable support framework for technically complex customer use cases built by Delivery Partners.

This role requires a technical leader who can work cross-functionally to understand the technical needs of our partner ecosystem, map these needs against Braze's internal strategy, and translate them into measurable execution plans. You will work with Braze’s extensive ISV ecosystem alongside commercial counterparts managing this network. You will also work closely with the Partner Services Delivery team, who support our Delivery Partners to help with highly technical use cases, identify technical knowledge gaps, and recommend enablement plans for our Delivery Partners. You will manage a team of ISV Partner Managers and Partner Technical Advisors and advocate for the addition of further technical subject matter experts (such as AI Decisioning, Email Deliverability) within the Partner Services Technical Solutions function.

WHAT YOU'LL DO

• Collaborate with Partnerships to define ISV prioritization and execute ISV strategy in alignment with broader business goals at Braze, creating a clear and measurable partner onboarding and integration lifecycle management without sustained product dependency
• Strengthen cross-functional alignment with Product, Engineering, and Partnerships to ensure ISV integrations enhance customer value, accelerate product adoption, and support retention
• Oversee program scalability, introducing and managing tools and processes such as an Integration Platform as a Service (iPaaS), optimised partner listings, and documentation
• Demonstrate a data-oriented approach to define and track technical partner KPIs, such as integration quality (utilization, efficacy), number of new partners, speed to market,  time to integration, and technical certification rates
• Translate partner product updates, integration expansion requests, and complex customer use cases into actionable roadmap inputs for Product & Engineering
• Work closely with Product and Expert Services to identify upcoming product and new service launches and advise how Partner Services should support our partners with these new areas
• Lead and develop the Technical Partner Solutions overarching function, providing structure, mentorship, accountability, setting standards, and building processes and documentation. Establish and continuously evolve the job family, career development paths, and materials, and headcount model to ensure team engagement, scalability, and continuity
• Manage the ISV Partner Manager team to ensure integration SME coverage, meet troubleshooting SLAs, and provide ongoing technical support for Technology partners
• Manage the Partner Technical Advisor team to ensure comprehensive Braze product knowledge, technical subject matter expertise in new partner services such as Email Deliverability and AI Decisioning Studio, and provide ongoing technical oversight and support for Delivery partners
• Ability to craft a 12–24 month technical roadmap for partners that aligns with Braze’s long-term product vision. Define ongoing technical training requirements for Technology and Delivery partners and work with cross-functional stakeholders to execute on partner enablement plans
• Serve as the senior escalation point for partner-related IRTs and customer issues. Own cross-functional resolution with CX, Product, and Engineering
• Ability to resolve technical friction between Braze product teams and external partner engineering teams while maintaining trust
• Effective communication for rolling out new technical requirements or compliance standards across a global partner network

WHO YOU ARE

• 5–8+ years of experience in technical partner management, solutions engineering, partner engineering, or ISV program management at a SaaS or MarTech company; At least 3+ years in a leadership capacity
• Deep Technical Fluency: Expert knowledge of APIs (REST, webhooks), data integration patterns (ETL/reverse ETL, CDPs, event streaming), and hands-on comfort with data infrastructure tools (e.g., Snowflake, Segment, mParticle)
• Operational Excellence: Proven track record of building scalable processes—partner onboarding playbooks, tiered support models, and SLA frameworks—in a high-growth environment managing 100+ integrations. Comfortable operating in ambiguity and introducing structure without slowing innovation
• Strategic & Cross-functional Leadership: A systems thinker with the ability to strategically prioritize competing technical demands (inbound partner requests, integration expansion) with a clear rationale. Proven ability to influence and drive alignment across Product, Engineering, and GTM stakeholders
• Commercial Instinct: Experience connecting technical partnership work to revenue outcomes 
• Familiarity with iPaaS platforms, app marketplace/app store models, and self-service integration frameworks is a strong plus

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $110,000 and $182,000/year, with an expected On Target Earnings (OTE) between $129,000 and $214,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

We are seeking a Senior Manager/Director of Technical Partner Solutions to define the strategic direction and lead the evolution of Braze's technical engagement with Technology (ISV) and Delivery Partners. This leader will scale the ISV function, focusing efforts on high-value technical partnerships and building a scalable support framework for technically complex customer use cases built by Delivery Partners.

This role requires a technical leader who can work cross-functionally to understand the technical needs of our partner ecosystem, map these needs against Braze's internal strategy, and translate them into measurable execution plans. You will work with Braze’s extensive ISV ecosystem alongside commercial counterparts managing this network. You will also work closely with the Partner Services Delivery team, who support our Delivery Partners to help with highly technical use cases, identify technical knowledge gaps, and recommend enablement plans for our Delivery Partners. You will manage a team of ISV Partner Managers and Partner Technical Advisors and advocate for the addition of further technical subject matter experts (such as AI Decisioning, Email Deliverability) within the Partner Services Technical Solutions function.

WHAT YOU'LL DO

• Collaborate with Partnerships to define ISV prioritization and execute ISV strategy in alignment with broader business goals at Braze, creating a clear and measurable partner onboarding and integration lifecycle management without sustained product dependency
• Strengthen cross-functional alignment with Product, Engineering, and Partnerships to ensure ISV integrations enhance customer value, accelerate product adoption, and support retention
• Oversee program scalability, introducing and managing tools and processes such as an Integration Platform as a Service (iPaaS), optimised partner listings, and documentation
• Demonstrate a data-oriented approach to define and track technical partner KPIs, such as integration quality (utilization, efficacy), number of new partners, speed to market,  time to integration, and technical certification rates
• Translate partner product updates, integration expansion requests, and complex customer use cases into actionable roadmap inputs for Product & Engineering
• Work closely with Product and Expert Services to identify upcoming product and new service launches and advise how Partner Services should support our partners with these new areas
• Lead and develop the Technical Partner Solutions overarching function, providing structure, mentorship, accountability, setting standards, and building processes and documentation. Establish and continuously evolve the job family, career development paths, and materials, and headcount model to ensure team engagement, scalability, and continuity
• Manage the ISV Partner Manager team to ensure integration SME coverage, meet troubleshooting SLAs, and provide ongoing technical support for Technology partners
• Manage the Partner Technical Advisor team to ensure comprehensive Braze product knowledge, technical subject matter expertise in new partner services such as Email Deliverability and AI Decisioning Studio, and provide ongoing technical oversight and support for Delivery partners
• Ability to craft a 12–24 month technical roadmap for partners that aligns with Braze’s long-term product vision. Define ongoing technical training requirements for Technology and Delivery partners and work with cross-functional stakeholders to execute on partner enablement plans
• Serve as the senior escalation point for partner-related IRTs and customer issues. Own cross-functional resolution with CX, Product, and Engineering
• Ability to resolve technical friction between Braze product teams and external partner engineering teams while maintaining trust
• Effective communication for rolling out new technical requirements or compliance standards across a global partner network

WHO YOU ARE

• 5–8+ years of experience in technical partner management, solutions engineering, partner engineering, or ISV program management at a SaaS or MarTech company; At least 3+ years in a leadership capacity
• Deep Technical Fluency: Expert knowledge of APIs (REST, webhooks), data integration patterns (ETL/reverse ETL, CDPs, event streaming), and hands-on comfort with data infrastructure tools (e.g., Snowflake, Segment, mParticle)
• Operational Excellence: Proven track record of building scalable processes—partner onboarding playbooks, tiered support models, and SLA frameworks—in a high-growth environment managing 100+ integrations. Comfortable operating in ambiguity and introducing structure without slowing innovation
• Strategic & Cross-functional Leadership: A systems thinker with the ability to strategically prioritize competing technical demands (inbound partner requests, integration expansion) with a clear rationale. Proven ability to influence and drive alignment across Product, Engineering, and GTM stakeholders
• Commercial Instinct: Experience connecting technical partnership work to revenue outcomes 
• Familiarity with iPaaS platforms, app marketplace/app store models, and self-service integration frameworks is a strong plus

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $110,000 and $182,000/year, with an expected On Target Earnings (OTE) between $129,000 and $214,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

We are seeking a Senior Manager/Director of Technical Partner Solutions to define the strategic direction and lead the evolution of Braze's technical engagement with Technology (ISV) and Delivery Partners. This leader will scale the ISV function, focusing efforts on high-value technical partnerships and building a scalable support framework for technically complex customer use cases built by Delivery Partners.

This role requires a technical leader who can work cross-functionally to understand the technical needs of our partner ecosystem, map these needs against Braze's internal strategy, and translate them into measurable execution plans. You will work with Braze’s extensive ISV ecosystem alongside commercial counterparts managing this network. You will also work closely with the Partner Services Delivery team, who support our Delivery Partners to help with highly technical use cases, identify technical knowledge gaps, and recommend enablement plans for our Delivery Partners. You will manage a team of ISV Partner Managers and Partner Technical Advisors and advocate for the addition of further technical subject matter experts (such as AI Decisioning, Email Deliverability) within the Partner Services Technical Solutions function.

WHAT YOU'LL DO

• Collaborate with Partnerships to define ISV prioritization and execute ISV strategy in alignment with broader business goals at Braze, creating a clear and measurable partner onboarding and integration lifecycle management without sustained product dependency
• Strengthen cross-functional alignment with Product, Engineering, and Partnerships to ensure ISV integrations enhance customer value, accelerate product adoption, and support retention
• Oversee program scalability, introducing and managing tools and processes such as an Integration Platform as a Service (iPaaS), optimised partner listings, and documentation
• Demonstrate a data-oriented approach to define and track technical partner KPIs, such as integration quality (utilization, efficacy), number of new partners, speed to market,  time to integration, and technical certification rates
• Translate partner product updates, integration expansion requests, and complex customer use cases into actionable roadmap inputs for Product & Engineering
• Work closely with Product and Expert Services to identify upcoming product and new service launches and advise how Partner Services should support our partners with these new areas
• Lead and develop the Technical Partner Solutions overarching function, providing structure, mentorship, accountability, setting standards, and building processes and documentation. Establish and continuously evolve the job family, career development paths, and materials, and headcount model to ensure team engagement, scalability, and continuity
• Manage the ISV Partner Manager team to ensure integration SME coverage, meet troubleshooting SLAs, and provide ongoing technical support for Technology partners
• Manage the Partner Technical Advisor team to ensure comprehensive Braze product knowledge, technical subject matter expertise in new partner services such as Email Deliverability and AI Decisioning Studio, and provide ongoing technical oversight and support for Delivery partners
• Ability to craft a 12–24 month technical roadmap for partners that aligns with Braze’s long-term product vision. Define ongoing technical training requirements for Technology and Delivery partners and work with cross-functional stakeholders to execute on partner enablement plans
• Serve as the senior escalation point for partner-related IRTs and customer issues. Own cross-functional resolution with CX, Product, and Engineering
• Ability to resolve technical friction between Braze product teams and external partner engineering teams while maintaining trust
• Effective communication for rolling out new technical requirements or compliance standards across a global partner network

WHO YOU ARE

• 5–8+ years of experience in technical partner management, solutions engineering, partner engineering, or ISV program management at a SaaS or MarTech company; At least 3+ years in a leadership capacity
• Deep Technical Fluency: Expert knowledge of APIs (REST, webhooks), data integration patterns (ETL/reverse ETL, CDPs, event streaming), and hands-on comfort with data infrastructure tools (e.g., Snowflake, Segment, mParticle)
• Operational Excellence: Proven track record of building scalable processes—partner onboarding playbooks, tiered support models, and SLA frameworks—in a high-growth environment managing 100+ integrations. Comfortable operating in ambiguity and introducing structure without slowing innovation
• Strategic & Cross-functional Leadership: A systems thinker with the ability to strategically prioritize competing technical demands (inbound partner requests, integration expansion) with a clear rationale. Proven ability to influence and drive alignment across Product, Engineering, and GTM stakeholders
• Commercial Instinct: Experience connecting technical partnership work to revenue outcomes 
• Familiarity with iPaaS platforms, app marketplace/app store models, and self-service integration frameworks is a strong plus

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $110,000 and $182,000/year, with an expected On Target Earnings (OTE) between $129,000 and $214,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

We are seeking a Senior Manager/Director of Technical Partner Solutions to define the strategic direction and lead the evolution of Braze's technical engagement with Technology (ISV) and Delivery Partners. This leader will scale the ISV function, focusing efforts on high-value technical partnerships and building a scalable support framework for technically complex customer use cases built by Delivery Partners.

This role requires a technical leader who can work cross-functionally to understand the technical needs of our partner ecosystem, map these needs against Braze's internal strategy, and translate them into measurable execution plans. You will work with Braze’s extensive ISV ecosystem alongside commercial counterparts managing this network. You will also work closely with the Partner Services Delivery team, who support our Delivery Partners to help with highly technical use cases, identify technical knowledge gaps, and recommend enablement plans for our Delivery Partners. You will manage a team of ISV Partner Managers and Partner Technical Advisors and advocate for the addition of further technical subject matter experts (such as AI Decisioning, Email Deliverability) within the Partner Services Technical Solutions function.

WHAT YOU'LL DO

• Collaborate with Partnerships to define ISV prioritization and execute ISV strategy in alignment with broader business goals at Braze, creating a clear and measurable partner onboarding and integration lifecycle management without sustained product dependency
• Strengthen cross-functional alignment with Product, Engineering, and Partnerships to ensure ISV integrations enhance customer value, accelerate product adoption, and support retention
• Oversee program scalability, introducing and managing tools and processes such as an Integration Platform as a Service (iPaaS), optimised partner listings, and documentation
• Demonstrate a data-oriented approach to define and track technical partner KPIs, such as integration quality (utilization, efficacy), number of new partners, speed to market,  time to integration, and technical certification rates
• Translate partner product updates, integration expansion requests, and complex customer use cases into actionable roadmap inputs for Product & Engineering
• Work closely with Product and Expert Services to identify upcoming product and new service launches and advise how Partner Services should support our partners with these new areas
• Lead and develop the Technical Partner Solutions overarching function, providing structure, mentorship, accountability, setting standards, and building processes and documentation. Establish and continuously evolve the job family, career development paths, and materials, and headcount model to ensure team engagement, scalability, and continuity
• Manage the ISV Partner Manager team to ensure integration SME coverage, meet troubleshooting SLAs, and provide ongoing technical support for Technology partners
• Manage the Partner Technical Advisor team to ensure comprehensive Braze product knowledge, technical subject matter expertise in new partner services such as Email Deliverability and AI Decisioning Studio, and provide ongoing technical oversight and support for Delivery partners
• Ability to craft a 12–24 month technical roadmap for partners that aligns with Braze’s long-term product vision. Define ongoing technical training requirements for Technology and Delivery partners and work with cross-functional stakeholders to execute on partner enablement plans
• Serve as the senior escalation point for partner-related IRTs and customer issues. Own cross-functional resolution with CX, Product, and Engineering
• Ability to resolve technical friction between Braze product teams and external partner engineering teams while maintaining trust
• Effective communication for rolling out new technical requirements or compliance standards across a global partner network

WHO YOU ARE

• 5–8+ years of experience in technical partner management, solutions engineering, partner engineering, or ISV program management at a SaaS or MarTech company; At least 3+ years in a leadership capacity
• Deep Technical Fluency: Expert knowledge of APIs (REST, webhooks), data integration patterns (ETL/reverse ETL, CDPs, event streaming), and hands-on comfort with data infrastructure tools (e.g., Snowflake, Segment, mParticle)
• Operational Excellence: Proven track record of building scalable processes—partner onboarding playbooks, tiered support models, and SLA frameworks—in a high-growth environment managing 100+ integrations. Comfortable operating in ambiguity and introducing structure without slowing innovation
• Strategic & Cross-functional Leadership: A systems thinker with the ability to strategically prioritize competing technical demands (inbound partner requests, integration expansion) with a clear rationale. Proven ability to influence and drive alignment across Product, Engineering, and GTM stakeholders
• Commercial Instinct: Experience connecting technical partnership work to revenue outcomes 
• Familiarity with iPaaS platforms, app marketplace/app store models, and self-service integration frameworks is a strong plus

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $110,000 and $182,000/year, with an expected On Target Earnings (OTE) between $129,000 and $214,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

About The Team: 

The Data Platform team powers LINQ’s internal intelligence and business operations; connecting the dots between go-to-market systems, financial processes, and product analytics. The team spans two distinct but closely integrated functions: Business Systems and Data Engineering. Together, these functions are central to how LINQ drives decisions, measures outcomes, and scales operations across the organization. This team partners closely with Revenue, Finance, Product, and Engineering to ensure that data flows cleanly from source to insight. 

About The Role: 

We are seeking a Senior Director of Data Platform to lead and unify LINQ’s Business Systems and Data Engineering functions. This is a strategic, hands-on leadership role responsible for the people, tools, and infrastructure that power our data-driven operations. You will manage our CRM ecosystem and revenue operations tooling alongside our data and BI stack.  This role operates at the intersection of technology and business strategy, requiring equal parts technical credibility and executive communication. 

Primary Objectives: 

• Own and evolve LINQ’s Data Platform strategy, spanning Business Systems (Salesforce and RevOps tooling) and Data Engineering (Snowflake, dbt). 

• Build, lead, and develop a high-performing team across two functions; managers and individual contributors alike. 

• Ensure data reliability, governance, and operational excellence across all systems under your purview. 

• Partner cross-functionally with Revenue, Finance, Product, and Engineering to translate business needs into scalable data solutions. 

What You Will Be Doing: 

• Business Systems 

• Own the strategy and operations of LINQ’s Salesforce environment, including Sales Cloud, CPQ, and all connected RevOps tooling. 

• Partner with Sales, Marketing, Finance, and Customer Success to capture business requirements and translate them into scalable CRM solutions. 

• Govern data quality, user access, integration architecture, and system reliability across all Business Systems platforms. 

• Evaluate, procure, and manage third-party RevOps tools (e.g., Gong, Clari, ZoomInfo, or similar) to support GTM effectiveness and revenue intelligence. 

• Drive adoption and change management as new tools and processes are introduced across revenue-facing teams. 

• Data Engineering 

• Own the architecture and operations of LINQ’s modern data stack, including data warehouse, transformation layer, and orchestration/pipeline tooling. 

• Lead data modeling strategy, ensuring clean, well-documented, and business-aligned data products across Finance, RevOps, Product, and Operations domains. 

• Establish and enforce data governance standards: lineage, cataloging, access controls, and data quality frameworks. 

• Partner with Analytics, Engineering, and Product to deliver trusted data to downstream consumers; dashboards, reporting, and operational workflows. 

• Drive the evolution of LINQ’s data infrastructure from ingestion through transformation to delivery. 

• Leadership & Strategy 

• Hire, develop, and retain strong technical and operational talent across both functions. 

• Set clear team direction, priorities, and OKRs in alignment with LINQ’s strategic goals. 

• Represent the Data Platform function in senior leadership forums and cross-functional planning. 

• Build a culture of ownership, collaboration, and continuous improvement across your team. 

What We Are Looking For: 

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field (or equivalent experience); advanced degree a plus. 

• 10+ years of experience in data, business systems, or related technical fields, with at least 4+ years in a senior leadership role managing managers and cross-functional teams. 

• Deep expertise with Salesforce (Sales Cloud, CPQ preferred) and demonstrated experience governing RevOps technology ecosystems. 

• Strong background in modern data engineering: Snowflake, dbt, ETL/ELT pipelines, data modeling, and cloud data infrastructure. 

• Proven ability to bridge business needs and technical execution—translating ambiguous requirements into reliable systems and data products. 

• Experience establishing data governance, quality, and security frameworks at scale. 

• Track record of building and developing high-performing technical teams in fast-paced, growth-stage environments. 

• Excellent communication and executive presence—able to influence and align stakeholders at all levels of the organization. 

• Strong project and program management skills; comfortable managing competing priorities across multiple workstreams. 

What will Make You Stand Out: 

• Experience leading both a Business Systems (CRM/RevOps) function and a Data Engineering function simultaneously. 

• Salesforce certifications (e.g., Salesforce Certified Administrator, Platform App Builder, or Architect-level credentials). 

• Familiarity with data mesh, data product, or data contract architectures. 

• Experience with downstream BI and analytics tooling (e.g., Looker, Tableau, Sigma) as a consumer of the data platform. 

• Background in K–12 EdTech or adjacent SaaS markets. 

The Tech: 

• Salesforce (Sales Cloud, CPQ) 

• RevOps tooling (e.g., Gong, Clari, ZoomInfo, or similar) 

• Snowflake 

• dbt (dbt Core or dbt Cloud) 

• Data pipeline/orchestration tools (e.g., Fivetran, Airbyte, Airflow) 

• BI/Analytics tooling (e.g., Looker, Tableau, Sigma, or similar) 

• GitHub Enterprise 

Travel Requirements: 

• Less than 5% 

WHAT YOU’LL DO

As a Technical Support Specialist, you will be a vital member of our Global Customer Support organization—serving as a trusted product expert, primary point of contact for inbound questions and owner of complex technical cases. You’ll diagnose and fix issues, answer product questions, and guide best practices, ensuring fast, accurate help and a great customer experience.

Your responsibilities will include:

• Owning customer inquiries end-to-end (how-to questions, technical break-fix issues, integration/configuration help, and best practice guidance), providing timely, insightful, and technically sound resolutions and suggestions.
• Becoming a trusted product expert—mastering the dashboard, integrations, troubleshooting steps, and best practices
• Driving increased product adoption by enabling customers to effectively utilize the platform and achieve their desired outcomes.
• Collaborating effectively with your own team members, Customer Success, Account Managers, Product and Engineering, and other cross-functional teams to deliver seamless customer experiences.
• Proactively identifying opportunities to enhance customer satisfaction and drive product adoption.
• Contributing to process improvements and internal enablement while actively documenting and sharing knowledge to elevate teammates and customers.

Please note this job description does not cover every duty you may need to undertake; you may be asked by your manager to handle other reasonable responsibilities commensurate with the role.

WHAT YOU HAVE

•  2–3 years of experience supporting technical products, ideally in SaaS or mobile application environments.
• A degree from an accredited college or university, a technical boot camp certification, or equivalent practical experience.
• Proficiency with case management tools (e.g., Salesforce, Zendesk) for efficient inquiry management and resolution.
• Hands-on experience with HTML, CSS, APIs, and/or SQL
• Experience with tools such as Postman, Snowflake, and/or Kibana is a plus.
• Domain knowledge of two or more: SaaS, Mobile Technology, APIs, Marketing Automation, Direct Marketing, Marketing Analytics, and/or basic programming.
• Strong written and verbal communication skills in English

WHO YOU ARE

• An excellent communicator with a customer-centric attitude with the ability to translate complex concepts into clear, understandable language for diverse audiences.
• Analytical, curious, and resourceful with strong troubleshooting and problem-solving capabilities
• Passionate about helping customers and resolving issues efficiently and effectively.
• Skilled at managing and prioritizing a high volume of inquiries and escalations; resilient and calm under pressure in fast-paced, time-sensitive situations.
• Able to synthesize complex technical concepts and communicate them clearly to diverse audiences
• Adaptable to fast-paced, high-volume environments with shifting priorities while being able to multitask and maintain performance under pressure.
• A proactive problem solver with a strong sense of intellectual curiosity, who thrives in collaborative team settings to tackle challenges.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $75,000 and $86,000/year, with an expected On Target Earnings (OTE) between $80,000 and $97,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

You love the story that data can tell. We are looking for an experienced Product Analyst who balances technical excellence with strong product intuition. You’ll be responsible for the full spectrum of data storytelling—from overseeing data ingestion and refining semantic models to providing deep-dive quantitative analysis on feature engagement, adoption funnels, and business impact.

You will deliver insights through concise dashboards, detailed reports, and emerging conversational interfaces. This is a high-impact role where you will partner directly with Product leaders and Engineers to influence the direction of our platform, transforming raw event data into the insights that fuel our next phase of scale.

WHAT YOU’LL DO:

• Drive Insight Strategy: Proactively identify the reports, dashboards, and deep-dive analyses required to move the needle on product goals
• Build & Scale: Design and implement robust data models and visualizations that serve as the "source of truth" for the Product organization
• Analyze at Scale: Navigate and extract meaning from billions of mobile and digital messaging data points
• Full-Stack Analysis: Get "in the weeds" to pull, clean, and transform raw data into sophisticated findings, ensuring data integrity at every step
• Influence Roadmap: Present findings to Product and Engineering leadership to directly inform feature prioritization and strategy

WHO YOU ARE:

• Experienced: 5+ years in BI, Data Analysis, and Data Modeling, ideally within a B2B SaaS or high-growth tech environment
• SQL Expert: 5+ years of experience writing complex, performant queries
• Technical: Proficient in programming or scripting languages (Python or R) for data manipulation and analysis
• Visual Storyteller: Expert-level experience with modern visualization tools (e.g., Looker, Tableau, Databricks)
• Scientifically Minded: BA/BS in Statistics, Math, Economics, Computer Science, or a related technical discipline; firm grasp of advanced statistical techniques
• Curious & Autonomous: A fast learner and self-starter who doesn't wait for a ticket to find an answer

Ideally, you'll have: 

• Modern Data Stack Flow: Experience with dbt, Airflow, or modern cloud warehouses (Snowflake/BigQuery)
• NoSQL Familiarity: Experience querying NoSQL databases like MongoDB or Redis
• AI/LLM Interest: Experience using Claude Code, GitHub Copilot, or other LLM harnesses to accelerate development and insight generation
• Cross-Functional Leadership: A proven track record of working across departments to align data strategy with business needs

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $90,000 and $135,000/year with an expected On Target Earnings (OTE) between $104,000 and $156,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

WHAT YOU'LL DO

As a Senior Director, Partnerships - Snowflake, you are responsible for defining and driving Braze's global strategy for one of its most critical technology partnerships. You will identify structural growth opportunities within the Snowflake ecosystem, establish long-term partnership direction, and align executive stakeholders across both organizations around shared commercial objectives.

You will operate as a core strategic leader within the Partnerships organization — shaping how Braze engages Snowflake, influencing product and integration priorities, and ensuring the partnership delivers sustained ecosystem impact. This is a highly cross-functional role, requiring close collaboration with Sales, Product, Marketing, and Engineering teams at Braze and within Snowflake to translate strategy into measurable outcomes.

This is a high-impact individual contributor role suited for someone who understands the Snowflake Data Cloud deeply, is fluent in the customer engagement platform landscape, and knows how to build and execute a partnership strategy that drives real business results.

Key Responsibilities Include:

• Define partnership strategy: Identify market pain points, ecosystem shifts, and structural growth opportunities within the Snowflake Data Cloud. Develop a clear global strategy for the Braze–Snowflake partnership that drives pipeline, product alignment, and long-term commercial expansion
• Drive executive alignment: Lead senior executive meetings with Snowflake's C-suite and Braze leadership to establish shared objectives, long-term commitments, and governance structures that ensure sustained execution
• Own global partnership direction: Independently set the strategic direction for the Snowflake partnership and leverage cross-functional teams at Braze to execute against it with consistency and accountability
• Establish governance and operating models: Design and implement joint steering committees, working groups, and cross-functional alignment forums that keep both organizations executing against shared priorities
• Shape product and integration priorities: Collaborate with Braze and Snowflake product and engineering leadership to influence roadmap direction, integration development, and joint solution design aligned to customer and ecosystem needs
• Set commercial ambition and targets: Define measurable goals for partner-sourced pipeline, revenue influence, and ecosystem expansion — and hold both sides accountable to delivering against them
• Drive commercial performance: Work with Braze Sales leadership and regional PAMs to embed the Snowflake partnership into active deal cycles, articulate joint value to customers and prospects, and translate partnership momentum into pipeline and revenue
• Represent Braze in the ecosystem: Act as a strategic ambassador for the Braze–Snowflake partnership externally and internally, positioning Braze as Snowflake's preferred customer engagement platform partner

WHO YOU ARE

• 8+ years of experience within the SaaS / technology ecosystem 
• 2+ years minimum of Partnerships Experience 
• Deep familiarity with the Snowflake Data Cloud — its architecture, partner ecosystem, and how enterprise customers deploy and expand it
• Strong understanding of the customer engagement platform landscape and how data infrastructure intersects with marketing technology
• Proven experience defining joint partnership strategies and building long-term execution plans across two organizations at a global scale
• Track record of securing executive alignment across partner and internal stakeholders, including C-suite engagement and governance model design
• Experience working with product and engineering teams to align on integration priorities and advance a technically grounded partnership roadmap
• Demonstrated ability to partner with sales teams — translating partnership value into deal-level impact and measurable revenue outcomes
• Able to operate independently in a strategic, first-in-kind capacity and embed partnership priorities into broader company-wide GTM motions
• Strong executive presence and communication skills, with a track record of influencing without authority across a matrixed, global organization

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $140,000 and $221,250/year with an expected On Target Earnings (OTE) between $187,000 and $295,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

Location: Austin, TX (3 days in office preferred)

About the Role

We are looking for a Customer Sales Director to focus on an at-scale strategy to support, retain, and grow a mix of our Commercial and Enterprise customer base. This role is a hybrid-based role in Austin, Texas.

What You'll Do 

• Build a strategic plan to drive expansion in a portfolio of Commercial and Enterprise accounts
• Manage multiple sales cycles and customer campaigns targeting Analytics Engineering, Data Platform, and Data Governance personas.
• Protect renewals by monitoring account signals, deepening executive alignment, and helping customers realize consistent value.

What You’ll Need

• Have 4+ years of experience in SaaS sales or account management, with a proven track record of exceeding targets.
• Have experience working in a fast-paced, high-growth environment, adapting quickly to constant change.
• Possesses strong consultative selling skills, engaging effectively with both technical and business audiences.
• Are proactive and organized, capable of independently managing a diverse book of business.

What Will Make You Stand Out

• You have prior experience in analytics, ETL, BI, or open-source software.
• You are familiar with dbt (core or Cloud) and the modern data stack, including platforms like Snowflake, BigQuery, Redshift, or Databricks.
• You have experience with consumption and/or usage-based pricing structures.
• You have experience with the MEDD(P)ICC sales methodology / Command of the Message

Remote Hiring Process

• Interview with a Talent Acquisition Partner
• Interview with Hiring Manager
• Team Interviews; Account Manager & Customer Solutions Architect Manager
• Account Management Activity with Sales Leadership

Benefits

• Unlimited vacation time with a culture that actively encourages time off
• 401k plan with 3% guaranteed company contribution
• Comprehensive healthcare coverage
• Generous paid parental leave
• Flexible stipends for:
• Health & Wellness
• Home Office Setup
• Cell Phone & Internet
• Learning & Development
• Office Space

Compensation

We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.

#LI-LA1 #LI-Remote #LI-CA1

At Realtor.com, we have the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone.

The People team is building a HR Performance & Goal Management (PM/GM) data product. This tool will support ~1,500 employees in managing Performance Measures (PMs) and General Measures (GMs) across mid-year and annual review cycles, aligned to our Real Success Framework (RSF).

We are seeking a Analytics Engineer to own the full data layer of this initiative — from schema design and RBAC architecture to pipeline management and compliance. This is a primary, ongoing responsibility during the build phase (6–9 months at ~75–100% allocation) and at steady-state (∼25–50% allocation post-launch), working in close partnership with the App Developer and People & Talent stakeholders.

Top Reasons to Apply:

1. High Visibility & Executive Impact
   You aren’t just building a dashboard; you are building the system of record for how 1,500+ employees (including our Executive Leadership Team) define success. The "Performance Hub" is a high-stakes, highly visible product where your architecture directly influences performance reviews, calibration, and compensation across the entire organization.
2. Architect the Future (From POC to Metric Store)
   We’ve proven the concept; now we need you to build the legacy. You have a long runway and the creative freedom to evolve a Proof-of-Concept into a robust, automated Metric Store. Beyond simple performance measures, you’ll have the autonomy to integrate proxy metrics, automated forecasting, and attrition models—effectively defining the "North Star" for our workforce analytics.
3. Absolute Ownership of a Modern Stack
   If you thrive in an environment of high ownership and low bureaucracy, this is your playground. You will own the full data layer—from Snowflake RBAC and schema design to dbt modeling and Airflow orchestration. You’ll be partnering with App Developers and People stakeholders to deliver a production-grade data product using the best tools in the industry.

What You'll Do

• Design and implement RBAC architecture in Snowflake supporting five role tiers (Employee, People Leader, HRBP, Admin, ELT), including row-level security policies scoped to org hierarchy and review cycle.
• Build and maintain data models for PM/GM tables, calibration history, audit logs, and the 4-point metric schema that underpins goal tracking and rating workflows.
• Manage the nightly UKG (UltiPro) data feed, handling org changes, leaves of absence (LOAs), and terminations to ensure the application reflects current workforce state.
• Integrate revenue goal data from existing Snowflake sources, enabling real-time goal sync for sales and quota-based populations.
• Build and maintain a comprehensive audit trail for all goal and rating changes, supporting manager workflows, HRBP review, and executive reporting.
• Implement GDPR/CCPA data anonymization logic, including right-to-be-forgotten workflows and compliant data handling for sensitive performance records.
• Enforce Snowflake access policy governance, ensuring that data exposure is strictly scoped to authorized roles and that access controls are auditable.
• Optimize Snowflake queries and warehouse configurations to support responsive HRBP and ELT dashboards, particularly during peak review seasons.
• Maintain a sandbox schema for safe development and testing of new features without impacting production data.
• Collaborate closely with the App Developer to expose clean, well-documented data interfaces that power goal submission, approval, calibration, and reporting workflows.
• Partner with Legal and IT to confirm Snowflake qualifies as the system of record for performance data and that all data governance requirements are met.

What You'll Bring

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field, plus 2+ years of relevant experience; or a Master’s degree with 6+ months of relevant experience in a corresponding domain.
• Strong SQL skills including query optimization, indexing, and building production tables and views in Snowflake; experience with Snowflake-specific features such as dynamic data masking, row access policies, and time travel.
• Hands-on experience designing and implementing RBAC in Snowflake, including role hierarchies, row-level security, and access policy governance.
• Proven ability to build and maintain data pipelines and ETL/ELT jobs; experience with tools such as dbt, Airflow, Fivetran, or custom Python-based pipelines.
• Experience integrating with HRIS platforms (e.g., UKG/UltiPro, Workday, or similar) via API or SFTP feeds to sync organizational data.
• Familiarity with data governance and compliance requirements, including GDPR/CCPA data anonymization, audit logging, and right-to-be-forgotten patterns.
• Strong data modeling skills; ability to design normalized schemas appropriate for goal-tracking, rating workflows, and calibration history.
• Knowledge of software engineering best practices for analytics: version control (Git), code review, testing, and documentation.
• Interpersonal and communication skills; ability to collaborate effectively with non-technical HR and People Operations stakeholders to translate business requirements into data assets.

Nice To Have:

• Experience supporting HR, performance management, or workforce analytics data products at a similar scale (~1,000–2,000 employees).
• Familiarity with Streamlit in Snowflake or similar lightweight app frameworks, enabling effective collaboration with the App Developer on data interface design.
• Experience with BI tools such as Tableau, Looker, or equivalent that may be used for supplemental HRBP or ELT reporting.
• Exposure to Snowflake cost governance and compute management, including virtual warehouse sizing and credit optimization for seasonal workloads.
• Prior work in a fast-moving tech or media company with iterative, agile delivery and cross-functional stakeholder engagement.

How we Reward you:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Senior Manager, Analytics and Insight 

Overview:

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity,  enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

The impact you'll make:

• Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities
• Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains
• Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling
• Drive proactive strategic insights to improve the caliber of decision-making across the business
• Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations
• Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement
• Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions
• Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO
• Design and oversee A/B testing and other experimental methodologies to validate product hypotheses
• Stay current with industry trends and best practices in analytics

What you've accomplished:

• Lead and develop an 6+ person team spanning analytics, business intelligence, and data science
• Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports
• Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows
• Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand
• Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.
• 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.
• Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)
• Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers
• Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale
• Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level
• Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)
• Strong understanding of statistical methods, A/B testing, and user research techniques
• Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

Bonus points: 

• Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context
• Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency
• Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)
• Experience supporting SOX-adjacent data validation or ERP integration workstreams
• Exposure to product analytics, experimentation frameworks, and attribution modeling

The base pay range for this position is $185,984 - $239,246 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Who We Are

Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.

While our offices (physical and virtual) are casual and inviting, we are deeply committed to our core tenets of creativity, innovation and efficiency, and individual and team development opportunities. Our industry and business are continually evolving and fast-paced, providing numerous opportunities to learn and hone your skills. We work hard, but we also like to have fun, and believe that we provide a great place to come to work each day to pursue your passions.

The Challenge

Take-Two Interactive is seeking a Data Collaboration & Partnerships Manager to join our Marketing Innovation and Technology (MIT) department. In this role, you will coordinate strategic data initiatives while managing relationships with a global network of technology vendors, advertising platforms, and data partners.

You will be responsible for the end-to-end lifecycle of data collaboration solutions: identifying new market opportunities, pitching innovative partnership ideas, and operationalizing scalable technical workflows that drive measurable business value. This position requires a builder’s mindset, combining technical product management with proactive business development to move our capabilities from experimental to permanent, automated functions within the interactive entertainment industry.

What You’ll Take On

Within 90 Days:

• Learn and Adapt: Immerse yourself in the technology stack, day-to-day operations, and the specific business needs.
• Understand the Roadmap: Gain a deep understanding of our current goals, objectives, and the long-term data collaboration strategy.
• System Onboarding: Begin taking on responsibility for specific workflows and assume partial ownership of key internal data collaboration systems and partner relationships.

Within 180 Days:

• Full Ownership: Transition to full ownership of designated systems and platform relationships, serving as the primary point of contact for technical and operational issues.
• Proactive Growth: Identify and pitch new partnership opportunities or technology integrations that drive further value to the business.
• Operational Impact: Drive measurable improvements in team productivity, product quality, and the efficiency of our data collaboration workflows.

Product strategy & development

• Identify and prioritize opportunities for value creation, enhanced usability, and technical feasibility by analyzing technology-related business needs.
• Formulate technical requirements and create associated documentation (PRDs) to establish and maintain the product roadmap.
• Partner with engineering and cross functional teams to determine feasibility, prioritize features, and ensure the successful implementation of requirements.
• Improve media efficiency and attribution accuracy through technical solutions that strengthen marketing performance and ROI.
• Support the adoption of new solutions, ensuring they meet the complex needs of our players, marketers, and partners.

Relationship management

• Actively evaluate the market for new data partners and technology solutions; identify and establish strategic relationships that drive business value.
• Effectively pitch data collaboration concepts and technical solutions to internal teams and external partners to secure buy-in and expand our reach.
• Establish and maintain strong relationships with Marketing, Technology, and Data leaders.
• Coordinate with vendors and supporting teams within Take-Two to solve technical and operational problems.
• Define and communicate the features and benefits of technology solutions to partners and manage commercial/data agreements for renewals and marketing opportunities.

Innovation and value generation

• Stay current with emerging technology and market trends to improve internal capabilities and maintain a strategic advantage.
• Expand Data Clean Room (DCR) capabilities across the key pillars of Insights, Activation, and Measurement, ensuring alignment with company core tenets.
• Position and advocate for data innovation to leadership, using metrics (e.g., acquisition, engagement, retention, LTV) to showcase value and impact.

Operational excellence

• Oversee the technical management of DCR platforms, including scoping, onboarding, and maintenance.
• Guide the Data Collaboration Governance Committee to standardize frameworks that facilitate secure data collaboration and insights.
• Drive continuous improvement in team processes, including procurement, budgeting, compliance, and product delivery workflows to enhance productivity and quality.

What You Bring

As a Product Manager (Data Collaboration), you focus on execution and solving ambiguous problems that support the product strategy. You define and launch product solutions for complex user needs (player, marketer, partner).

• 3-5+ years of practical experience developing and driving solutions powered by technology, with a strong emphasis on the partnership landscape.
• Practical experience with Data Clean Room platforms (e.g., Meta Advanced Analytics, Google Ads Data Hub, Snowflake, LiveRamp, or InfoSum).
• Ability to speak to partners, pitch complex ideas, and build long term relationships. You know how to navigate the market to find and establish new value-driving relationships.
• Solid understanding of digital advertising, marketing partnerships, and data architecture. You must understand the AdTech and Identity worlds (DSPs, Identity Brokers, and Advertising Platforms).
• Clear communicator with the ability to explain technical concepts and solutions to various audiences, ranging from leadership to technical vendors.
• Understanding of privacy-related regulations (e.g. COPPA, GDPR, CCPA, etc.) and experience managing sensitive data in a compliant manner.
• Strong background in digital innovation, preferably experience in the interactive entertainment industry.
• Ability to establish and navigate high-level relationships, prioritizing timely updates & risk management.
• Demonstrates strong creativity and scrappiness and can handle constraints with grace.
• Practical experience with budgeting, contract management, and compliance in a tech environment.

What We Offer You

• Great Company Culture. Ranked as one of the most creative and innovative places to work, creativity, innovation, efficiency, diversity and philanthropy are among the core tenets of our organization and are integral drivers of our continued success.
• Growth: As a global entertainment company, we pride ourselves on creating environments where employees are encouraged to be themselves, inquisitive, collaborative and to grow within and around the company.
• Work Hard, Play Hard. Our employees bond, blow-off steam, and flex some creative muscles – through corporate boot camp classes, company parties, game release events, monthly socials, and team challenges.
• Benefits. Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more!
• Perks. Fitness allowance, employee discount programs, free games & events and stocked pantries.

Please be aware that Take-Two does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Take-Two also does not engage in any financial exchanges during the recruitment or onboarding process, and the Company will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scam or phishing exercise. Take-Two’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a take2games.com email domain). If you need to report an issue or otherwise have questions, please contact Careers@take2games.com

As an equal opportunity employer, Take-Two Interactive Software, Inc. (“Take-Two”) is committed to fostering and celebrating the diverse thoughts, cultures, and backgrounds of its talent, partners, and communities throughout its organization. Consistent with this commitment, Take-Two does not discriminate or retaliate against any employee or job applicant because of their race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, and genetic information (including family medical history), or on the basis of any other trait protected by applicable law. If you need to report a concern or have questions regarding Take-Two’s equal opportunity commitment, please contact Careers@take2games.com.

Senior Manager, Analytics and Insight (Hybrid - 2 days onsite per week) 

Overview:

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity,  enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

The impact you'll make:

• Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities
• Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains
• Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling
• Drive proactive strategic insights to improve the caliber of decision-making across the business
• Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations
• Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement
• Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions
• Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO
• Design and oversee A/B testing and other experimental methodologies to validate product hypotheses
• Stay current with industry trends and best practices in analytics

What you've accomplished:

• Lead and develop an 6+ person team spanning analytics, business intelligence, and data science
• Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports
• Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows
• Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand
• Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.
• 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.
• Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)
• Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers
• Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale
• Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level
• Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)
• Strong understanding of statistical methods, A/B testing, and user research techniques
• Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

Bonus points: 

• Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context
• Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency
• Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)
• Experience supporting SOX-adjacent data validation or ERP integration workstreams
• Exposure to product analytics, experimentation frameworks, and attribution modeling

The base pay range for this position is $185,984 - $239,246 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Senior Manager, Analytics and Insight (Hybrid - 2 days onsite per week) 

Overview:

As the Senior Manager of Analytics & Insights, you will lead the team responsible for transforming data into trusted, actionable intelligence and data-driven strategic recommendations for teams across the organization. You will manage a cross-functional team of analysts and data scientists, driving the shift from reactive reporting to proactive, strategic insight generation. This role sits within the Data organization, reporting to the VP of Data, and serves as a critical bridge between technical data infrastructure and business decision-making. Success looks like a team that operates with high autonomy, delivers consistent metric integrity,  enables self-service analytics at scale, and serves as trusted thought partners for leaders throughout the business.

The impact you'll make:

• Define and execute the analytics strategy across BI, analytics, and data science functions to align with company OKRs and CTO-level priorities
• Own the organization's metrics framework, ensuring consistency, accuracy, and trustworthiness of KPIs across all business domains
• Lead the build-out of self-service analytics capabilities, including dashboard infrastructure, semantic layers, and AI-powered tooling
• Drive proactive strategic insights to improve the caliber of decision-making across the business
• Partner with Engineering, Product, Finance, and Marketing stakeholders to prioritize data workstreams and translate business questions into scalable analytical solutions and recommendations
• Identify and execute opportunities to improve team efficiency through tooling, AI integration, and cross-functional process improvement
• Oversee analytics support for critical business initiatives including ERP migrations, compliance workstreams, and platform transitions
• Present strategic findings, metric insights, and team roadmap to executive leadership and the CTO
• Design and oversee A/B testing and other experimental methodologies to validate product hypotheses
• Stay current with industry trends and best practices in analytics

What you've accomplished:

• Lead and develop an 6+ person team spanning analytics, business intelligence, and data science
• Own hiring, onboarding (including structured 30/60/90 plans), performance management, and career development for all direct reports
• Foster a culture of ownership, intellectual rigor, and continuous improvement, including deliberate upskilling in AI-assisted workflows
• Triage and prioritize team backlog in partnership with stakeholders, balancing strategic initiatives against ad hoc demand
• Bachelor’s degree in Business, Data Science, Statistics, or a related field; Master’s degree preferred.
• 8+ years of experience in product analytics, business intelligence, or a related field, with 3+ years in a management role.
• Strong SQL proficiency and hands-on familiarity with cloud data warehouses (e.g., Snowflake) and transformation frameworks (e.g., dbt)
• Experience managing mixed-discipline teams including analysts, data scientists, and/or BI engineers
• Demonstrated ability to drive metric standardization, data governance, and self-service infrastructure at scale
• Strong executive communication skills with a track record of influencing decisions at the VP/C-suite level
• Proficiency in data analysis tools (e.g., SQL, Python) and visualization platforms (e.g., Sigma, Tableau)
• Strong understanding of statistical methods, A/B testing, and user research techniques
• Proven ability to manage projects effectively and work collaboratively in a fast-paced environment

Bonus points: 

• Experience with Sigma, Tableau, or comparable BI platforms, particularly in a migration or platform consolidation context
• Familiarity with AI/LLM tooling applied to analytics workflows, documentation, or operational efficiency
• Background in ecommerce, marketplace, or regulated industries (cannabis, pharma, fintech)
• Experience supporting SOX-adjacent data validation or ERP integration workstreams
• Exposure to product analytics, experimentation frameworks, and attribution modeling

The base pay range for this position is $185,984 - $239,246 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. 

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

What you bring:

• 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
• Strong command of R and/or Python for data manipulation and statistical analysis.
• Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
• Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs. 
• Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
• Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
• Bonus Points: Adobe Analytics 

What you’ll be doing:

• Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
• Assist in designing and executing reporting, analytics, and optimization briefs.
• Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
• Perform analysis to uncover actionable insights and develop data-driven recommendations
• Present findings to internal and client stakeholders in a clear, business-focused way.

What you’ll need to accomplish in your first year:

• Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
• Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

Senior Salesforce Systems Engineer (Remote)

Overview:

We are looking for a Senior Salesforce Systems Engineer who can own the technical direction of our CRM ecosystem end-to-end. This is not a ticket-queue administrator role; you will serve as the connective tissue between complex data architecture, enterprise integrations, and business strategy.

You will lead sophisticated technical implementations involving FinancialForce (Certinia) and similar cloud-based ERPs, ensuring seamless data flow across our financial middleware and core business systems. Your expertise will drive high-stakes Salesforce-to-Salesforce migrations and the development of robust DevOps pipelines that keep our deployment cycles fast and reliable. You will be responsible for translating executive requirements into technical delivery plans and communicating progress to stakeholders at every level.

If you are equally comfortable writing Apex triggers and presenting a financial data migration timeline to a CFO, this role was built for you.

The impact you'll make:

• Architecture & Integration: Design and maintain robust integrations between Salesforce and our enterprise stack, specifically focusing on FinancialForce (Certinia), secondary cloud ERPs, and financial middleware to ensure a unified "Lead-to-Cash" workflow.
• Migration Leadership: Lead high-stakes Salesforce-to-Salesforce migrations and ERP data transitions, ensuring rigorous data integrity, complex metadata mapping, and minimal disruption to financial reporting cycles.
• DevOps Excellence: Build, manage, and optimize CI/CD pipelines (Copado, Gearset, or Azure DevOps) to ensure seamless, automated deployments.
• Strategic Project Management: Act as a technical project lead. You will gather requirements from management, and help manage delivery timelines for your own workstreams.
• Middleware Management: Optimize our data flow using middleware tools (MuleSoft, Boomi  or similar) to connect SFDC with external data warehouses and cloud platforms.
• Security, Compliance & Data Governance: Support SOX compliance, audit readiness, and change-management controls for financially significant CRM processes.

What you've accomplished:

• Salesforce Expertise: 7+ years of hands-on Salesforce development experience, including Apex, Lightning Web Components (LWC), and Flow orchestration. 
• Integration Specialist: Deep experience with REST/SOAP APIs, including authentication flows (OAuth2.0, JWT, Named Credentials).
• Processing Patterns: Strong understanding of asynchronous processing patterns (Platform Events, Change Data Capture, Batch Apex, etc).
• Financial Force (Certinia) / ERP: Direct, hands-on experience with FinancialForce or equivalent ERP systems.
• Data & Cloud Stack: Proven experience integrating Salesforce:
• Data/Analytics: 
• IE:Snowflake, Tableau.
• Cloud Infrastructure: 
• IE:AWS (S3, Lambda), Google Cloud.
• Security/Identity: 
• IE: Okta, Jira, Slack.

Bonus points: 

• Active Salesforce Certifications (Platform App Builder, Integration Architecture Designer, or Data Architecture and Management Designer).
• Experience in Salesforce org merges, large-scale data cleansing, or data migration tooling.
• Background in agile methodologies with the ability to self-manage sprints and backlogs in Jira

The base pay range for this position is $113,624 - $144,412 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

Senior Salesforce Systems Engineer (Hybrid 2 days per week onsite)

Overview:

We are looking for a Senior Salesforce Systems Engineer who can own the technical direction of our CRM ecosystem end-to-end. This is not a ticket-queue administrator role; you will serve as the connective tissue between complex data architecture, enterprise integrations, and business strategy.

You will lead sophisticated technical implementations involving FinancialForce (Certinia) and similar cloud-based ERPs, ensuring seamless data flow across our financial middleware and core business systems. Your expertise will drive high-stakes Salesforce-to-Salesforce migrations and the development of robust DevOps pipelines that keep our deployment cycles fast and reliable. You will be responsible for translating executive requirements into technical delivery plans and communicating progress to stakeholders at every level.

If you are equally comfortable writing Apex triggers and presenting a financial data migration timeline to a CFO, this role was built for you.

The impact you'll make:

• Architecture & Integration: Design and maintain robust integrations between Salesforce and our enterprise stack, specifically focusing on FinancialForce (Certinia), secondary cloud ERPs, and financial middleware to ensure a unified "Lead-to-Cash" workflow.
• Migration Leadership: Lead high-stakes Salesforce-to-Salesforce migrations and ERP data transitions, ensuring rigorous data integrity, complex metadata mapping, and minimal disruption to financial reporting cycles.
• DevOps Excellence: Build, manage, and optimize CI/CD pipelines (Copado, Gearset, or Azure DevOps) to ensure seamless, automated deployments.
• Strategic Project Management: Act as a technical project lead. You will gather requirements from management, and help manage delivery timelines for your own workstreams.
• Middleware Management: Optimize our data flow using middleware tools (MuleSoft, Boomi  or similar) to connect SFDC with external data warehouses and cloud platforms.
• Security, Compliance & Data Governance: Support SOX compliance, audit readiness, and change-management controls for financially significant CRM processes.

What you've accomplished:

• Salesforce Expertise: 7+ years of hands-on Salesforce development experience, including Apex, Lightning Web Components (LWC), and Flow orchestration. 
• Integration Specialist: Deep experience with REST/SOAP APIs, including authentication flows (OAuth2.0, JWT, Named Credentials).
• Processing Patterns: Strong understanding of asynchronous processing patterns (Platform Events, Change Data Capture, Batch Apex, etc).
• Financial Force (Certinia) / ERP: Direct, hands-on experience with FinancialForce or equivalent ERP systems.
• Data & Cloud Stack: Proven experience integrating Salesforce:
  • IE:Snowflake, Tableau.
  • IE:AWS (S3, Lambda), Google Cloud.
  • IE: Okta, Jira, Slack.
• Data/Analytics: 
• Cloud Infrastructure: 
• Security/Identity: 

Bonus points: 

• Active Salesforce Certifications (Platform App Builder, Integration Architecture Designer, or Data Architecture and Management Designer).
• Experience in Salesforce org merges, large-scale data cleansing, or data migration tooling.
• Background in agile methodologies with the ability to self-manage sprints and backlogs in Jira.

The base pay range for this position is $113,624 - $144,412 per year

 2026 US Benefits for Full Time, Regular Employees:

• Physical Health (Medical, Dental & Vision)
• 100% employer-paid premium for employees
• Up to 80% coverage for dependents
• Company HSA contribution with the High Deductible Health Plan
• 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
• Basic Life, Voluntary Life and AD&D Insurance options
• Supplemental, voluntary benefits
• Student Loan Repayment/529 Education Savings with a monthly company contribution
• FSA (Medical, Dependent, Transit and Parking)
• Voluntary Life and AD&D Insurance
• Critical Illness Insurance
• Accident Insurance
• Short- and Long-term Disability Insurance
• Pet Insurance
• Identity theft protection
• Legal access to a network of attorneys
• PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
• Paid parental leave

POSITION SUMMARY

We are seeking a visionary Lead AI Architect to lead the design and implementation of next-generation AI solutions by bridging our Salesforce CRM ecosystem with AWS cloud infrastructure. In this strategic role, you will be responsible for architecting scalable Generative AI applications that enhance customer engagement, automate complex workflows, and unlock predictive insights.

You will serve as the technical authority on how Salesforce Data Cloud, Einstein Trust Layer, and Amazon Bedrock interact, ensuring our AI solutions are secure, scalable, and impactful. You will move beyond simple integrations to build robust "Bring Your Own Model" (BYOM) architectures.

PRIMARY RESPONSIBILITIES

AI Strategy & Architecture (40%)

• Define the end-to-end architecture for Generative AI solutions, integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker.

• Design "Bring Your Own Model" (BYOM) patterns, allowing Salesforce to securely access Foundational Models (FMs) hosted on AWS (e.g., Claude, Titan, Llama 2) via Bedrock.

• Architect the data ingestion and grounding strategies (RAG - Retrieval Augmented Generation) to ensure AI models have access to real-time, unified customer profiles from Data Cloud.

• Establish the governance framework for AI, ensuring compliance with the Einstein Trust Layer regarding data privacy, zero-data retention policies, and PII masking.

Implementation & Development (30%)

• Lead the technical implementation of Model Builder and Prompt Builder within Salesforce, connecting them to external AWS endpoints.

• Configure Amazon Bedrock agents and knowledge bases to execute complex tasks and retrieve proprietary data for Salesforce users.

• Develop serverless middleware using AWS Lambda and API Gateway to facilitate low-latency communication between Salesforce Flow/Apex and AWS inference endpoints.

• Oversee the fine-tuning of models on AWS SageMaker when out-of-the-box Bedrock models require domain-specific adaptation.

Cross-Functional Collaboration (20%)

• Partner with Data Engineers to ensure Salesforce Data Cloud is correctly ingesting, harmonizing, and activating data streams from S3, Redshift, and other sources.

• Collaborate with Salesforce Administrators and Developers to embed AI outputs directly into the flow of work (Service Console, Sales Cloud LWC, etc.).

• Act as the subject matter expert for Product Managers, translating "AI buzzwords" into viable technical roadmaps and realistic deliverables.

Optimization & Innovation (10%)

• Monitor LLM performance, latency, and token costs; implement caching strategies and model selection logic to optimize spend.

• Stay ahead of the rapid evolution in the Salesforce/AWS partnership, evaluating new features like Zero Copy Data Sharing and Vector Databases.

QUALIFICATIONS

Required Technical Skills:

• AWS AI/ML Stack: Deep expertise in Amazon Bedrock is mandatory. Experience configuring Bedrock Knowledge Bases, Agents, and Guardrails. Proficiency with AWS Lambda, API Gateway, and IAM for secure cross-cloud access.

• Salesforce AI Stack: Strong working knowledge of Salesforce Data Cloud, Einstein 1 Platform, and the setup of Model Builder/Prompt Builder.

• Architecture: Experience designing RAG (Retrieval Augmented Generation) architectures and Vector Database integrations (e.g., OpenSearch Serverless or Pinecone).

• Integration: Expert-level knowledge of REST/gRPC APIs, OAuth flows, and named credentials for secure Salesforce-to-AWS connectivity.

• Programming: Proficiency in Python (for AWS Lambda/Boto3) and familiarity with Apex (for Salesforce triggers/callouts).

Experience:

• 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science.

• 3+ years specifically focused on AI/ML solutioning or Data Engineering.

• Proven track record of deploying at least one Generative AI solution into production (not just POCs).

• Experience implementing "Zero Copy" architecture between Salesforce and Data Warehouses (Snowflake/Redshift) is a major plus.

Certifications (Preferred):

• AWS Certified Solutions Architect (Professional)

• AWS Certified Machine Learning – Specialty

• Salesforce Data Cloud Consultant or AI Associate

KNOWLEDGE, SKILLS, AND ABILITIES

• LLM Fluency: Deep understanding of context windows, prompt engineering techniques (Chain of Thought, ReAct), and embeddings.

• Security First: A paranoia for security—understanding how to prevent prompt injection and ensure data residency compliance when data leaves Salesforce for AWS.

• Communication: The ability to explain to a generic C-suite executive why we need a Vector Database without losing their attention.

Navan is modernizing the infrastructure of business travel, expense, and spend management — and data is central to that mission. We are seeking a Senior GTM Data Quality Analyst to own the integrity and trustworthiness of our go-to-market data, enabling Sales, Marketing, and Revenue Operations to move faster and smarter.

In this role, you’ll be responsible for identifying, measuring, and improving the quality of GTM data across systems, with a focus on solving problems at the point of data creation. You’ll also own the integration and management of third-party data sources into our CRM, ensuring consistency, accuracy, and usability across the GTM tech stack.

You’ll partner cross-functionally with system owners, data analysts, and operations teams to build scalable data quality practices that support revenue growth and operational excellence. This is a high-impact role for someone who thrives on getting into the details of complex data problems while building processes and tooling that scale.

What You’ll Do:

• Own all phases of GTM data quality projects from project planning through execution and completion
• Define and maintain data quality rules, standards, metrics, and processes, including ROI calculations
• Build Data Quality dashboards and other methods to measure and report on data quality
• Lead the integration and maintenance of 3rd party data sources into our CRM , ensuring proper mapping, deduplication, and usage across systems
• Work cross-functionally to identify and fix data quality issues using sustainable and best-practice tools and processes
• Maintain a backlog of data quality issues, priorities, and status
• Investigate root causes of recurring issues and implement long-term, scalable solutions
• Collaborate across multiple stakeholders and elevate critical issues and blockers to leadership when necessary
• Lead the central design and operationalization of GTM territories in partnership with Sales Strategy, ensuring scalable, data-driven segmentation across geographies, segments, and roles
• Maintain clear, centralized documentation of territory logic, segmentation rules, and account assignment workflows to ensure transparency and consistency
• Build tools and dashboards to monitor territory coverage, account distribution, and rep capacity, enabling leadership to make informed planning decisions

What we’re looking for:

• Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or equivalent
• 3+ years of Sales Strategy, Revenue Operations, and/or Marketing Operations
• 3+ years of experience managing 3rd party data vendors or providers
• Experience owning 3rd party data integrations into a CRM, including field mapping, deduplication logic, and system performance impact
• 5+ years of experience developing complex SQL, including multi-table joins and analytical functions
• 3+ years interfacing with Salesforce or similar CRM platforms
• 3+ years managing projects end-to-end, including task definition, work estimation, and status reporting
• Experience solving for data quality problems in Salesforce
• Demonstrated ability to work in fast-paced, often ambiguous environments with adaptability and focus

Preferred Qualifications:

• Advanced in SQL and other analytics tools Snowflake, BigQuery, Etc
• Experience with territory data management
• Experience working for a B2B SaaS or high-growth software company
• Prior exposure to 3rd party data strategy across a globally diverse user base
• Familiarity with ticketing systems like JIRA or ServiceNow

Join Navan’s innovative Business Technology team as the Senior Manager of Contact Center Platforms. In this role, you will be the driving force behind the development and deployment of cutting-edge technologies that revolutionize how we engage with our customers. You will lead a high-performing technical team, translating business requirements into scalable solutions that enhance user experience, improve efficiency, and drive revenue growth.

Navan offers a fast-paced environment where you can get your hands dirty with complex architecture while mentoring a team of experts. If you have a deep understanding of the contact center ecosystem, a proven track record of shipping complex projects, and a passion for modernizing CX stacks, you’ll fit right in.

What You’ll Do:

As the Senior Manager of Contact Center Platforms, you will own the technical roadmap and day-to-day operations of our CX stack. Your primary responsibilities include:

• Team Leadership: Lead and mentor a technical team of engineers and analysts, overseeing staffing, performance management, and professional growth.
• Execution & Delivery: Drive the development, implementation, and maintenance of scalable, secure contact center platforms (ACD, IVR, Routing).
• Strategic Partnership: Collaborate closely with CX business leaders to align technical roadmaps with operational goals and customer needs.
• Vendor Management: Act as the primary technical point of contact for third-party vendors, ensuring our stack (AWS Connect, Genesys, etc.) is optimized and cost-effective.
• Governance & Security: Ensure all platforms remain compliant with global regulatory requirements, including GDPR and SOX.
• Optimization: Use data analytics to identify friction points in the customer journey and implement automated or technical solutions to resolve them.
• Resiliency: Maintain robust disaster recovery and business continuity plans to ensure zero downtime for our global support teams.

What We’re Looking For:

• Experience: 7+ years of experience in Business Technology or IT, with at least 3+ years in a leadership/management capacity specifically focused on contact center tech.
• Technical Depth: Deep expertise in modern contact center suites (e.g., AWS Connect, Genesys Cloud, or Five9) and their integration with CRMs like Salesforce.
• Domain Knowledge: Strong understanding of IVR logic, complex routing, Workforce Management (WFM), and Quality Management (QM) tools.
• Methodology: Proficiency in Agile and DevOps workflows; you know how to manage a sprint and maintain a clean deployment pipeline.
• Analytical Mindset: Ability to leverage tools like Tableau, Looker, or Snowflake to track platform performance and ROI.
• Communication: Exceptional ability to bridge the gap between "technical speak" and "business impact" for stakeholders and executives.
• Project Management: Proven ability to manage multiple high-priority workstreams simultaneously in a high-growth, "ship-fast" environment.

About the Role

What you’ll do

• Pigment Architecture & Ownership: Serve as the Lead Architect for our Pigment environment. You will own the end-to-end lifecycle: discovery, design, build, UAT, and deployment
• Model Building: Assist in the building and refining of financial models (Headcount, Revenue/ARR, OpEx, and Cash Flow) directly within Pigment, ensuring they are dynamic, scalable, and audit-ready
• Data Strategy & Integrations: Provide overall support for the Finance Systems roadmap. Partner with our Biz Tech and Accounting to optimize data flows between Pigment and our tech stack (e.g., NetSuite, Salesforce, Workday, Snowflake)
• Enablement: Act as the internal champion for Pigment. You will create documentation and lead training sessions to ensure the broader Finance and Business Org can self-serve and trust the data
• Process Engineering: Look beyond the software to improve the process. You will identify bottlenecks in our current planning cycles and automate them away

What you’ll need

• Experience: 5+ years of experience in Finance, Data and Systems, Finance Systems or a similar role. At least 2+ years of hands-on experience as a "Model Builder" in a connected planning tool (Pigment experience is a huge plus, but any planning tool such as Anaplan or Adaptive is a plus)
• Systems Fluency: You think in dimensions, versions, and data types. You understand how to structure formulas that are efficient and easy for others to follow
• Problem Solver: You have a "builder" mindset. When a model breaks or a data sync fails, you enjoy digging into the logic to find the root cause
• Communication: Ability to translate "system-speak" into everyday language for the finance and business partners

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

#LI-AP1

SENIOR FINANCIAL ANALYST, FP&A

The Impact

At http://Realtor.com , you’ll be a key member of our best-in-class FP&A team, building the financial models that help us understand our business and drive our strategy forward. This role is designed for a curious, resourceful learner and automation-minded analyst who finds professional satisfaction in building clean, logical, driver-based models and maintaining meticulous file hygiene. You will act as a strategic partner to your business area, working side-by-side with leaders to explain the "why" behind the numbers, ensuring every decision is built on a bedrock of accuracy, strategy, and trust.

Core Responsibilities

Strategic Advisory & Business Partnering

• Strategic Business Partner: Manage the P&L for your business units and provide rigorous financial advice, contextualized by company strategies, to executive leadership.
• Strategic Opinions: Go beyond reporting to provide proactive opinions on business strategy and perform ad hoc finance and business case analyses for stakeholders.
• Business Support & Communication: Develop and maintain detailed budget and forecast models, communicating results and insights effectively to all stakeholders.

Financial Rigor & Reporting

• Variance Analysis & Action Planning: Provide P&L owners and Business Partners with budget-to-actual analysis and support managers in the development of concrete action plans to improve variances.
• Executive Reporting: Develop and prepare KPI and financial reports for distribution to senior management, including the preparation of financial package presentation materials.
• P&L Integrity: Ensure the foundational accuracy of your P&L, including month-end accrual and billing accuracy.
• Headcount Management: Manage personnel costs—often the largest P&L driver—by tracking and forecasting both FTEs and contractors to ensure alignment with operational plans.

Systems, Standardization & AI

• Systems Architecture: Build models, create dashboards, and generate reports within the FP&A reporting system, using several different systems such as Adaptive, Excel, and Gsheets.
• Process Improvement: Identify and lead process improvement projects that result in enhanced internal/external reporting and forecasting, with a relentless drive towards improving forecast accuracy.
• AI-Forward Efficiency: Actively leverage AI tools to accelerate data cleaning, audit formulas, and streamline documentation, reclaiming time for deeper analysis.
• File & Data Hygiene: Maintain a gold standard for organization, including logical model flows, intuitive file naming, and clear folder structures that ensure work is documented and scalable.

Qualifications

• Experience: 5+ years of progressive finance experience, ideally in a marketplace, SaaS, or high-growth tech environment.
• Modeling & Rigor: Expert-level ability to build driver-based (PxQ) models. You are naturally disciplined and believe that file structure and naming conventions are a reflection of analytical quality.
• Resourceful Learner: You are a naturally curious problem-solver who enjoys learning new systems and data structures. You take the initiative to find answers and develop compelling data insights independently.
• Detail Obsession: You have the persistence to dig into GL-level discrepancies and the patience to organize "messy" data into clean, repeatable frameworks.
• Professional Judgment: Proven ability to operate with high autonomy while possessing the judgment to proactively loop in management on medium-to-high impact decisions.
• Technical Prowess: Advanced Excel is required. Proficiency with Google Sheets and experience with Adaptive (or similar financial planning tools) is strongly preferred. Familiarity with Oracle, Snowflake, SQL, or Power BI is a plus.
• Modern Mindset: Tech-curious early adopter of AI productivity tools with a passion for automating repetitive tasks.
• Education: Bachelor’s Degree in Finance, Accounting, Business, Economics, or a related quantitative field.

How We Work

We balance accelerated creativity and innovation on a foundation of in-person collaboration and flexibility, from inside and outside of our office walls. This is a hybrid role, one can work three days of their choice in our Austin, TX office and the remaining two days from home. 

Realtor.com® is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

About the role:

8am is looking for a Senior Data Engineer to help design and scale the data platform that power analytics, product insights, and machine learning across the company.  In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights.  You’ll also help set engineering standards, mentor teammates, and drive momentum across the team by improving the way we build, review, and operate data systems.

About us:

At 8am, our vision is to power a world where professionals thrive. We start every day on a mission to empower professionals with the most trusted, innovative technology to deliver world-class outcomes for their clients and exceptional financial results for their business. They count on our purpose-built solutions to simplify operations, ensure compliance, and fuel profitable growth, so they can focus on their clients and do more of the work that matters.

Founded in 2005, 8am™ (formerly AffiniPay) is the professional business platform built to help legal, accounting, and other client-focused professionals run stronger, more profitable businesses. Today, more than 250,000 professionals across the U.S. trust 8am to help them work smarter, serve clients better, and unlock their full potential. We have been recognized as one of Inc 5000’s fastest growing companies in the U.S. for 13 years in a row, and as a result, our teams continue to grow as well!

What you'll do:

• Lead design discussions around data architecture, modeling strategy, and platform evolution
• Identify opportunities to simplify and scale the data platform
• Drive improvements to data reliability, observability, and data quality
• Establish and promote best practices for data modeling, testing, and code review
• Help the team prioritize work and balance speed with technical quality
• Develop and optimize ETL processes
• Integrate data sources across a broad product portfolio to provide stakeholders access to key information they need to excel at their job
• Mentor other data engineers
• Challenge how business use cases fit together and fit into our product
• Determine and proactively communicate future impacts of proposed or ongoing work
• Help the team mitigate any issues that arise in their product and its ecosystem
• Model data and metadata to support ad-hoc and pre-built reporting facilitating data access for our BI tools and analytical reporting
• Provide technical guidance to help Data Engineering evolve access to data platform
• Work with engineering to integrate tracking of new functionality into the data ecosystem
• Optimize the performance of business-critical queries
• Explain why the projects their team is working on have been prioritized over other projects

About you:

• 7+ years of data engineering experience 
• Experience with data warehouses and large-scale analytics systems (Redshift, Snowflake, BigQuery, etc.)
• Strong experience designing and building data pipelines and data platforms
• Cloud infrastructure experience (AWS preferred)
• Experience building and maintaining relational as well as  document, key-value, and other noSQL databases
• Advanced Python & SQL skills
• Experience working with third-party APIs for data integration
• Experience with business process automation
• Bachelor's degree or higher in a technical field (or similar combination of education and experience)
• Spark and Redshift experience (PySpark preferred)
• Experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.)
• Experience with Infrastructure as Code (Terraform / CloudFormation)
• Experience with event or streaming systems (Kafka or similar)
• CI/CD experience

Additional Information
The annual salary range for this position is $150,000 to $175,000. The salary range for performing this role outside of the US / Austin / California may differ.  8am is committed to offering competitive, fair and commensurate compensation and has provided an estimated pay range for this role. Actual compensation may vary based on job-related knowledge, skills, experience and education.

Why 8am: 

At 8am, our culture is shaped by the people who bring it to life every day. Together, we build a company rooted in continuous learning, genuine community, holistic wellness, and meaningful engagement—values that empower us as individuals and unite us as a team. Our culture is grounded in our core values: Work Smart, Win Fast; Outshine Ordinary, and We Find a Way. These values drive how we serve our customers and work with each other in a collaborative, inspiring, and empowering environment, every day.

Here’s how we support our 8Team:

• Health Insurance Coverage: We offer our 8Team a variety of medical, dental, and vision plans, designed to fit your needs, including a 100% company-paid HDHP plan for employees.
• Financial perks: We offer a competitive compensation and benefits package including annual bonuses, equity options and 401(k) or RRSP if in Canada, with a company match for all team members.
• Time for what matters: Flexible Time Off, paid holidays, and a parental leave program for our new parents.
• Wellness: Wellness stipends, mental health support, and one-on-one nutrition coaching.
• Learning and Development: Continuous learning through 8am.edu, leadership programs, professional development funds, and individually focused talent development.
• Giving back to the communities around us: Participate in our charitable matching gift program, paid time off for volunteer service, and company-sponsored volunteer events (both local and virtually).
• Engagement: Virtual and in-person team-building events, quarterly award recognition through our Rise & Shine Award of Excellence Program, and our peer-to-peer appreciation platform.

At 8am, we don’t just offer benefits - we create an environment where people can thrive, grow, and make a real impact every day.

Diversity, equity & inclusion at 8am:

At 8am, we recognize that innovation occurs with a strong team of people who are diverse in background, personality, talent and ideas. Experience comes in many forms and ensuring a diverse and inclusive workplace where we continue to learn from each other is an integral part of our culture. We are committed to creating a welcoming and transparent environment for all that embraces those differences through education, equal access to opportunities and information, inclusionary programs, and community outreach. 

Security advisory:

Our hiring teams at 8am are dedicated to recruiting top talent that share our passion for serving the professional services industry through innovative financial technology.  As such, our Talent Acquisition Team only follows legitimate hiring practices.  We will always communicate with our candidates using emails with the 8am domain and will never ask for sensitive/personal data during the application process.  All interviews take place over phone call, Zoom/Google Meet or in person.  All offers are communicated verbally by our Talent Acquisition Specialists with a written offer letter as a follow up. 

At http://Realtor.com , we are building products that empower millions of homebuyers, renters, and real estate professionals to navigate the journey of home ownership with confidence. Because data is our most strategic asset, we are seeking a Senior Data Governance Engineer to help operationalize our Data Governance mission, guiding our business-led data strategy. In this role, you will be the bridge between our high-level mission and technical execution, charged with developing and delivering enterprise wide data governance solutions.

As a senior engineer in our Data Governance Function, you will help scale our cross-functional governance programs, which help guide our data strategy. You will partner with engineering, product, and business leaders to deliver upon our governance needs, develop data guard rails, and guide the enterprise to data self service.

This role requires an experienced developer who thrives in ambiguity, has in-depth knowledge of data governance, quality and management, and is adept at driving data clarity. You should have a strong perspective on how to foster effective collaboration, manage competing priorities, and deliver results in a dynamic environment. You should be comfortable with tracking and leveraging metrics to support data health and performance, and advocating for continuous process improvement.

What you’ll do:

• You will help operationalize the data governance program by designing and developing tools to automate data discovery, metadata extraction and data lineage tracking
• Partner with Data Architects to design "governance-by-design" schemas 
• Build integrations between our data lake and governance catalog
• You will operate and maintain the technical features of the data catalog used to define data, document its metadata, and collect lineage. 
• You will ensure data is fit for purpose by following the defined data quality framework to manage the development, delivery and maintenance of of data quality rules, both at rest and in motion
• You will drive development efforts to implement enterprise-wide data governance initiatives such as a Master Data Management solution, Data Quality dashboards and a Data Marketplace.
• Deliver on data privacy initiative through the implementation and automation of data masking, encryption and regulatory compliance workflows

What you’ll bring:

• 8+ years of experience working as a data developer with at least 4 years specifically focused on Data Governance
• Bachelor’s degree or equivalent experience
• Strong understanding of data governance, data quality, and master data management best practices including experience implementing metadata management, data catalogs, lineage and data quality tools
• Deep expertise in SQL and Python and working knowledge of modern data stack components (dbt, Airflow, Kafka, or Spark).
• Experience implementing AI/ML initiatives in data pipelines to drive data governance
• Proficiency working in cloud environments (e.g. Snowflake)
• Strong analytical and problem-solving abilities, with a proactive approach to identifying and addressing challenges.
• Experience working with data catalog (e.g. Collibra, Alation, Azure, etc.) and data quality tools (e.g. Informatica, Ab Intio, etc.)
• Experience developing BI dashboards utilizing tools such as Tableau, Looker, QLik, etc.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• Certification in Data Management (e.g. DAMA, CDMP)
• Experience with cloud platforms (e.g. Snowflake)
• Working knowledge of Acryl Data Catalog
• Knowledge of privacy regulations such as CCPA, GDPR, etc.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

The Work You’ll Do:
You’ll design, build, and operate backend services and data integrations that power personalized marketing experiences across CRM and Digital Marketing channels at Realtor.com®. You’ll work across the marketing technology stack—connecting internal data platforms to tools that activate, measure, and optimize campaigns. Your work will ensure the reliability, observability, and scalability of data pipelines that enable millions of users to receive relevant messages at the right time.

• Design, build, and operate backend services and data integrations that are secure, observable, and cost-efficient, using modern cloud patterns on AWS.
• Collaborate with data platform teams on the Snowflake and Kafka data platform (streaming and batch) to enable reliable data collection, processing, and access for near real-time marketing and analytics use cases.
• Contribute to streaming pipelines and consumers (e.g., Kafka/MSK) and batch workflows backed by Snowflake/DBT/Airflow/Hightouch, with a focus on correctness, performance,
  and operational excellence.
• Implement and extend CI/CD pipelines on the company’s deployment platform (CircleCI GitHub + Argo), driving paved-path adoption, test automation, and deployment safety.
• Help instrument, validate, and monitor clickstream and service events in partnership with data reliability teams, improving event health and taxonomy alignment across systems.
• Strengthen observability for services and pipelines (metrics, logging, tracing) to reduce mean time to detection/recovery and enable effective on-call rotations.
• Partner with cross-functional stakeholders (marketing, engineering, product, analytics, privacy) to define requirements, de-risk designs, and ship incremental value.
• Write clear technical documentation, contribute to runbooks, and participate in design and code reviews to raise engineering quality and knowledge sharing.
• Champion reliability and governance: adopt data lineage, ownership, and catalog tooling; incorporate validation and guardrails that prevent bad data from propagating.

What You’ll Bring:

• 5+ years of experience building backend systems and/or data-intensive services in production, with ownership across design, implementation, and operations.
• Bachelor’s degree or equivalent experience.. 
• Proficiency in one or more of: TypeScript/Node.js, Python, Java/Kotlin; strong foundation in writing maintainable, testable code.
• Solid SQL skills and experience with Snowflake or comparable cloud data warehouses; familiarity with data modeling and working with structured/semi-structured data.
• Experience with event-driven systems and streaming technologies (e.g., Kafka/MSK) and building resilient consumers/producers
• Hands-on with AWS services (e.g., Lambda, ECS/EKS, S3, IAM, MSK, API Gateway) and Infrastructure-as-Code (Terraform or CloudFormation).
• CI/CD expertise (preferably on CircleCI + GitHub + Argo) and a testing mindset across unit, integration, contract, and data validations.
• Strong observability practices (logs, metrics, traces) using tools like New Relic and Splunk; effective incident response and post-incident improvement.
• Excellent collaboration and communication skills; ability to partner with product, analytics, and other engineering teams to deliver outcomes.

Nice To Have Experience:

• Experience with CRM and digital marketing platforms (Braze, Cordial, Google Ads, Meta Ads, etc)
• Experience with the Snowflake data platform and its streaming/batch components; DBT and Airflow familiarity.
• Background in clickstream data reliability: event taxonomy, validation tooling, event health monitoring, and developer workflows that “shift-left” data quality.
• Familiarity with tracking and SDK ecosystems (e.g., Tracking SDK and “Direct Send”), experimentation, and downstream analytics integrations.
• Knowledge of data governance practices and lineage/discoverability platforms like the Data Catalog; exposure to privacy and compliance workflows (e.g., CCPA/CPRA).
• Experience operating services on Kubernetes (EKS), GitOps/ArgoCD, and adopting paved-path CI/CD patterns on CircleCI.

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Position Overview

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

Our Engineering organization is a fast-growing team of collaborative, technically strong, and passionate problem solvers. We value creativity, ownership, and the drive to build meaningful technology that solves real-world security challenges. Every engineer has the opportunity to make a measurable impact—on the product, the company, and our culture. We believe in using the right tools for each problem, mentoring and learning through peer reviews, and continuously improving how we build. 

The Application Data Platform team designs, builds, and maintains data-intensive applications that power customer-facing features across REST APIs and UI components. Python is our primary language, and we take pride in delivering end-to-end solutions—from frontend and API design to backend systems and databases.

Responsibilities:

• Translate product requirements into robust, scalable, and maintainable software solutions.

• Collaborate with Product Management, UX, Security Research, and Data Science teams to simplify security for our customers.

• Provide technical leadership—mentoring, code reviews, and architectural guidance.

• Design, develop, test, deploy, and maintain software in production environments.

• Own quality, reliability, and performance across the stack; proactively identify areas for improvement.

• Work with relational and non-relational databases to enable seamless data flow.

• Engage actively in team discussions—contributing ideas, asking questions, and driving continuous improvement.

Requirements: 

• 5+ years of professional software engineering experience.
• 2+ years of Python development experience.
• 3+ years working with cloud providers (AWS, Azure, or GCP).
• 4+ years of database experience, including relational systems (MariaDB, PostgreSQL, MySQL, etc.).
• Experience designing REST API contracts (OpenAPI, Swagger, etc.).
• Skilled in debugging, performance profiling, automated testing, and documentation.
• Hands-on experience with CI/CD pipelines and deployment automation.
• Strong understanding of software design principles and modern development practices for data-intensive systems.
• Familiarity with containers and Kubernetes.
• Proficiency with Unix/Linux environments.
• Excellent communication and collaboration skills.
• Self-motivated and proactive; able to take initiative and challenge assumptions constructively.

Preferred: 

• Experience with Python web and asynchronous frameworks (Django, Flask, Celery, FastAPI).
• Knowledge of authentication and authorization standards (OAuth, OIDC, IAM, SAML).
• Experience with full-stack development, particularly backend-heavy applications.
• Strong SQL tuning and performance optimization skills.
• Experience with Infrastructure as Code (Terraform, Terragrunt, CloudFormation, Troposphere).
• Familiarity with analytical (OLAP) and Lakehouse databases (Delta Lake, Iceberg, Snowflake, BigLake, etc.).

Education: 

• BS or MS in Computer Science/Engineering (or equivalent experience)

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company.

You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. 

This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON’s headquarters in Austin, TX and reports to the Senior Director of Operations.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds).
• Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry’s ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements – for instance, adding new attributes or new object types as we launch new programs.
• Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems.
• Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses.
• Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM).
• Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency.
• Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry’s capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern.
  
  
• Mentorship & Best Practices: As a senior member, guide junior data engineers in writing clean, maintainable pipeline code. Establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.

Minimum Qualifications

• 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design.
• Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data).
• Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors).
• Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly.
• Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently.
• Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries.
• Attention to detail and commitment to data quality – recognizes the downstream impact of data issues and proactively puts checks in place.
• Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).

Preferred Skills & Experience

• Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful.
• Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools.
• Experience with business intelligence tools or practices – able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry’s Contour/Quiver dashboards).
• Knowledge of DevOps and CI/CD for data pipelines – using version control (Git), and deploying code in a controlled, automated way.
• Master’s degree in Data Engineering or related field, or relevant certifications (e.g. Google Professional Data Engineer, AWS Data Analytics Specialty) indicating a commitment to ongoing learning in the field.

RigUp is hiring a Staff Accountant who will be responsible for operational and corporate accounting responsibilities, including journal entries, accruals, reconciliations, and monthly close activities. Our ideal candidate for this role will be someone who has experience and desire to work in a fast-paced, dynamic environment. Effective communication, the ability to multi-task, and  the desire to contribute meaningfully will also be key. 

This is a hybrid (3x per week) opportunity out of our corporate office in downtown Austin, TX. 

Why Join us?

Our Accounting team at RigUp is part of the Finance & Accounting group. We are a bunch of hard-working, curious, attentive, no-ego, number-crunchers, owning the responsibility of month-end close, ensuring financial accuracy and completeness, financial statement preparation, all the way to budgets, forecasts, board decks, etc. We are building the foundation of a world class Finance and Accounting organization.

What you’ll be doing:

• Work directly with the Accounting Manager and Sr. Accountants during the month-end close cycle (journal entries, accruals, reconciliations, ad-hoc projects, etc.) 
• Leverage your technical software skills to optimize accounting processes and support financial reporting.
• Ensure department & vertical alignment across financial reporting systems and other organizational software systems.
• Provide fluctuation analysis and insights to Accounting leadership for forecasting and financial reporting.
• Help support the year-end financial audit process with external auditors by helping prepare schedules and pulling supporting documents. 
• Assist the team in developing and maintaining timely and accurate financial statements. and reports in accordance with generally accepted accounting principles (GAAP).
• Ensure financial records are in compliance with company policies and procedures.
• Assist in the ongoing process of upskilling the accounting team processes and controls to introduce automation and technology tools. 
• Meet with other company stakeholders to complete tasks as needed. 

Experience and Education Requirements:

• Experience: 2-6 years of hands on, Accounting experience (public accounting experience or experience in a start-up a plus) 
• Education: Bachelor's degree in Accounting, Business or Finance (Accounting preferred) 
• Basic operational knowledge of U.S. GAAP
• Strong technical skills with proficiency in accounting ERP software (e.g., NetSuite, etc.),  and other financial reporting tools
• Experience and knowledge with RPA and other automation software is a plus.
• Experience with Snowflake virtual data warehouse is a plus
• Excellent analytical and problem-solving skills
• Self-driven: You need an execution focus and a strong sense of urgency and conviction, even under minimal supervision 
• Detail-oriented: Your work is reliably accurate and organized even when working fast
• Constant learner: You want to grow your areas of expertise as we grow our product and business
• Motivated: You take initiative and seek out responsibility, you want to grow in your responsibilities
• Adaptable: You will need to be ok with change, wearing multiple hats, and be flexible in your day to day, prioritize
• Collaborative: Team player with the ability to work with all levels of employees, both internal and external, to ensure performance and excellent standards are maintained

Essential Job Functions: 

• Regular, on-time attendance
• Ability to communicate effectively
• Ability to use office equipment such as a computer, copier and telephone
• Ability to use office computer programs such as e-mail, Google Docs, Microsoft Word, PowerPoint and Excel
• Occasionally remain in a stationary position, often standing or sitting for prolonged periods