In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Maintenance Technician to join our growing team.

Location - This role will be onsite based out of our Burr Ridge production facility and with occasional visits to our Elmhurst facility.

Shift - This is a second shift role and will primarily be from 1:00pm - 9:30pm.

About the role:

The Maintenance Technician is responsible for providing maintenance and performance support for large-scale manufacturing equipment by accurately assessing equipment condition and performing required repairs, as well as supporting the general upkeep of the manufacturing facility and equipment at both the Burr Ridge and Elmhurst locations.

Responsibilities:

• Install and maintain cooking, packaging, and bagging equipment (conveyors, kettles, poppers, VFFS, product scales, coding systems & inspection equipment)
• Perform preventative maintenance on equipment to reduce failure
• Troubleshoot and diagnose mechanical, electrical, HVAC, and plumbing failures 
• Ability to tig weld stainless steel and solder copper pipe
• Facility repairs up to and including painting, replacing light bulbs, pallet rack repairs, etc.
• Safely repair electrical systems, including up to high voltage, thermocouples, heating elements, temperature controllers, frequency drives, motor testing and photo eyes. Ability to run conduit to and from a motor control panel 
• Identify improvement projects to reduce overall downtime and increase throughput
• Understand drawings and equipment manuals
• Assess work orders and plan jobs
• Use lean manufacturing principles to improve communication and problem-solving
• Utilize a CMMS system to accurately document work performed
• Proficient use of hand tools.
• Be an effective communicator with production workers, managers, and fellow technicians 
• Basic computer skills
• Knowledge of GMP’s and able follow all food safety guidelines

Experience & Skills we value:

Required 

• Strong understanding of mechanical and electrical machine repair.
• Knowledge of GMP’s and follow all food safety guidelines
• Ability to understand drawings, equipment manuals
• Ability to use a multimeter
• Basic understanding of electrical components and troubleshooting process
• 3+ years of experience in a maintenance role 
• Excellent written and verbal communication skills
• Experience in food manufacturing
• Basic computer skills

Nice to have and/or you’ll learn: 

• Ability to tig weld stainless steel and solder copper pipe
• OSHA 10 or OSHA 30
• Welding certification
• NFPA 70e certification
• PLC experience (Allen Bradley or equivalent)
• HS Diploma or GED
• Vocational school, trade school, professional degree, Certificate or Apprenticeship in maintenance related field

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $36.96 per hour +$0.50 per hour shift differential 

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a Data Product Manager to join our growing Data and Analytics team.

Location - this role is hybrid and can be based out of our downtown Chicago or Elmhurst office

About the role:

The Data Product Manager is responsible for owning the prioritization and iterative delivery of data products within DoubleGood's DNA (Data & Analytics) group. This role bridges the gap between business strategy and technical execution — translating high-level priorities into well-scoped, actionable requirements while driving an iterative approach to data product development that maximizes impact and keeps teams focused on what matters most.

Responsibilities

• Own the DNA product backlog — maintain and continuously prioritize a backlog of data and analytical initiatives based on business impact, stakeholder needs, and technical feasibility; serve as the single point of accountability for what gets worked on and when.
• Apply iterative product thinking — champion a crawl-walk-run approach to data product delivery, breaking work into phased increments that deliver value early and reduce risk.
• Translate strategy into requirements — partner with business-side stakeholders (Marketing, Finance, Operations, etc.) to gather and document detailed business logic, data definitions, and acceptance criteria for analytics and BI engineering teams.
• Drive stakeholder alignment — act as the primary liaison between business partners and technical teams, ensuring priorities are clearly communicated, well-understood, and consistently reflected in execution.
• Define and track success metrics — establish measurable outcomes for each data product (adoption, usage, business impact) and hold the team accountable to them.
• Manage UAT and validation — own business-facing acceptance testing, ensuring delivered data products meet stakeholder expectations and can be trusted by the business.
• Identify and communicate tradeoffs — surface scope, dependency, and prioritization tradeoffs proactively, enabling leadership to make faster, better-informed decisions.

Experience & Skills we value:

Required:

• 8+ years in a product management, business analysis, or data product role — ideally in a data-intensive environment
• Demonstrated experience owning and managing a product backlog with competing priorities across multiple stakeholders
• Strong understanding of data modeling concepts, BI tools, and modern data stacks (e.g., Snowflake, dbt, Looker or similar)
• Proven ability to translate complex business problems into clear, actionable technical requirements
• Experience applying agile/iterative delivery methodologies (sprint planning, acceptance criteria, incremental releases)
• Excellent communication and stakeholder management skills — comfortable working across technical and non-technical audiences

Nice to have and/or you’ll learn: 

• Experience in a high-growth or startup environment where priorities shift frequently and speed of delivery matters
• Familiarity with data governance principles and documentation best practices
• Background in finance, operations, or a domain-heavy vertical where deep business logic expertise is required
• Experience working with analytics engineering teams (dbt, semantic layer, OBTs)
• Exposure to ERP systems (e.g., D365) or manufacturing/operations data

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $130,000 - $165,000 annually
• Target Annual Bonus: 15% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.

In recent years, Double Good has seen 40% year over year growth, and we’re excited about our future! We’re excited about the possibility of you joining our mission. We are looking for a VP of Data Management to join our growing team.

Location- This hybrid role is based in our downtown Chicago office and will require periodic visits to our Elmhurst location.

About the role:

The VP of Data will lead the enterprise data organization to deliver trusted, product-oriented data assets that power analytics, visibility, and decision-making across Double Good—enabling the business to grow faster with confidence and exploration in its data.

Organizational Scope

This role serves every function across Double Good that relies on data to operate and make decisions. The VP of Data is accountable for ensuring that marketing, sales, operations, finance, customer success, Product and Technology, and executive leadership all have access to reliable, timely, and well-governed data products tailored to their needs.

Service Scope

The data organization under this role operates as an internal product team, delivering a portfolio of data products and platform services that span the full data lifecycle:

• Ingestion Services: Managed pipelines that reliably move data from application databases, third-party SaaS platforms, and event streams into the data warehouse.
• Data Warehouse & Modeling Services: Curated, tested, and documented dimensional models that organize raw data into business-ready structures.
• Semantic Layer & Metrics Services: Governed metric definitions, LookML models, and BI frameworks that ensure a single source of truth across all reporting.
• Platform Services: A reliable, performant, and cost-efficient data platform (Snowflake, dbt, orchestration, observability) available to all data consumers.
• Data Governance Services: Standards, policies, cataloging, lineage, and access controls that protect data quality and regulatory compliance.

Role Scope

This is a senior leadership position that carries both strategic and operational accountability:

• Manages a team of 4 - 8 direct reports spanning analytics engineering, platform engineering, semantic layer development, and data product management, with potential to grow as the organization scales.
• Owns the data platform budget, including cloud warehouse costs, tooling licenses, and contractor spend.
• Has decision-making authority over data architecture, tooling selection, data modeling standards, and team structure within the data organization.
• Operates as a peer to other senior technology leaders and partners directly with business unit heads to align data investments with functional priorities.
• Reports to the CTO and participates in technology leadership forums, contributing to company-wide technology strategy and investment decisions.

Responsibilities:

Data Strategy & Product Management

• Define and execute the company data strategy, positioning data as a product portfolio that serves internal consumers across marketing, sales, operations, finance, technology and product, and executive leadership.
• Own the data product roadmap, prioritizing purpose-built data products (e.g., Unit Economics, Fundraiser Performance, Marketing Performance, Seller Engagement) over source-system-oriented models.
• Establish product management practices within the data organization, including stakeholder discovery, requirements gathering, SLA definitions, and iterative delivery.
• Partner with the CTO and executive team to align data investments with business objectives and growth strategy.

Data Ingestion & Integration

• Oversee all data ingestion pipelines, ensuring reliable extraction from source systems (application databases, third-party SaaS platforms, event streams) into the data warehouse.
• Evaluate and manage CDC streaming and ETL/ELT tooling, making build-vs-buy decisions that balance cost, reliability, and latency requirements.
• Establish data contracts and integration standards with application engineering teams to ensure upstream changes don’t break downstream analytics.

Data Organization & Architecture

• Own the enterprise data warehouse architecture, including dimensional modeling (star schema), staging layers, business logic centralization, and consumption layer design.
• Drive the evolution from domain-centric source models to curated, purpose-built analytical data products with clear ownership and documentation.
• Establish and enforce data governance standards including data quality, lineage, cataloging, access controls, and compliance (SOC 2, privacy regulations).
• Define naming conventions, transformation standards, and testing frameworks to ensure consistency and reliability across the data platform.

Platform Engineering

• Manage and optimize the modern data stack, including cloud data warehouse (Snowflake), transformation tooling (dbt), orchestration, and data observability.
• Ensure platform reliability, performance, and cost efficiency as data volumes and user demands scale.
• Evaluate and implement new technologies that improve data freshness, pipeline observability, and developer experience for the data team.
• Partner with infrastructure and security teams to maintain SOC 2 compliance and data protection standards across all data systems.

Presentation & Semantic Layer Engineering

• Own the semantic layer and BI platform strategy, ensuring business users have access to consistent, governed metrics and dimensions across all reporting surfaces.
• Lead the design and engineering of LookML models, Explores, and dashboards (or equivalent BI tooling) that deliver self-service analytics capabilities to the business.
• Establish a metrics framework that serves as the single source of truth for key business measures, eliminating conflicting definitions across teams.
• Drive adoption of data products across the organization through training, documentation, and stakeholder enablement.

Team Leadership & Organizational Development

• Build, lead, and develop a high-performing data team spanning analytics engineering, platform engineering, semantic layer development, and data product management.
• Attract and retain top data talent, fostering a culture of ownership, craftsmanship, and business partnership.
• Establish team structures, career ladders, and operating rhythms that support both individual growth and organizational scalability.
• Manage vendor relationships and budgets for the data platform portfolio.

Experience & Skills we value:

• 10+ years of progressive experience in data engineering, analytics engineering, or data platform leadership, with at least 5 years in a senior management or VP-level role.
• Deep expertise in modern data stack technologies: cloud data warehouses (Snowflake preferred), transformation frameworks (dbt preferred), and BI/semantic layer platforms (Looker/LookML preferred).
• Track record of building and leading data teams that operate with a product mindset—delivering governed, documented, consumer-oriented data products.
• Strong understanding of dimensional modeling, data warehouse architecture patterns (star schema, OBT), and data governance frameworks.
• Experience with AWS cloud infrastructure, data pipeline orchestration, and CDC/streaming technologies.
• Demonstrated ability to partner cross-functionally with business stakeholders and translate business needs into scalable data solutions.
• Experience operating in a SOC 2 compliant environment and understanding of data security, privacy, and access control best practices.
• Excellent communication skills with the ability to present data strategy and trade-offs to executive leadership.

Nice to have and/or you’ll learn: 

• Experience in e-commerce, marketplace, or platform business models where an understanding of multi-sided user journeys (organizers, sellers, buyers) is valuable.
• Familiarity with product management methodologies applied to internal data products and platforms.
• Experience managing data platform costs and optimizing cloud spend.
• Background in building analytics solutions that support both operational reporting and strategic decision-making.

Equal Pay Disclosure(s):

We’re on a mission to create more joy in people’s lives, and that includes our internal employees. We create a place people love to be a part of, where people can discover and practice their unique skill sets, a place where they can contribute and do their best work. We do this by offering our employees a competitive compensation & benefits plan.

Base Pay range for this position:

• $180,000 - $250,000 annually
• Target Annual Bonus: 25% of base salary

The final discretionary compensation that will be offered for this role depends on a variety of factors, including job-related knowledge, skills, experience, and market location.

Work Authorization Requirement:

This position requires current authorization to work in the United States. We do not provide visa sponsorship, including support for F-1 Optional Practical Training (OPT), STEM OPT extensions, or other temporary work authorization programs.