steercom - Key Message. Delivered.

Support Engineer

• Ensure successful customer setup by managing the entire phone system implementation process, including initial setup, provisioning, and final installation.
• Diagnose and resolve technical issues related to phone systems, VOIP hardware, and software configurations.
• Manage the escalation process for complex technical problems, ensuring timely resolution and minimal downtime.
• Create and update detailed technical documentation and Standard Operating Procedures (SOPs) to build a robust knowledge base.
• Collaborate with cross-functional teams to identify root causes of connectivity issues and implement preventive system improvements.
• Translate technical details into clear, understandable information for non-technical stakeholders and users.
• Proactively identify opportunities to innovate and improve current communication workflows and systems.

Technical Support Specialist, Phone Systems

Growth Marketing

• Own the day-to-day execution of multi-channel campaigns across paid, organic, CRM, and content.
• Build and refine landing pages, forms, CTAs, and nurture flows within HubSpot to maximize conversion.
• Launch multiple new experiments per sprint, testing offers, messaging, channels, and formats.
• Help manage the production of practical, "shop-owner-first" tools, including short videos, case studies, benchmark reports, and educational guides.
• Work closely with BDRs to assess lead quality, align campaigns to real-world objections, and tighten feedback loops.
• Maintain visible dashboards (HubSpot) to track leads generated, CPL, conversion rates, and pipeline lift.

Growth Marketing Manager

Sales Operations Manager

• Audit 'Closed Won' deals to ensure commercial terms are accurate and that all automated handoffs to Onboarding and CS are triggered flawlessly.
• Build and maintain HubSpot workflows that power the transition from Sales to Onboarding, ensuring no customer 'falls through the cracks.'
• Partner with Marketing, Sales, Customer Success and Finance to optimize existing processes and implement new ones when strategic changes occur
• Proactively track deal velocity and stage gates, ensuring all required checks and balances are met before a deal progresses.
• Act as the gatekeeper for CRM hygiene, following up with stakeholders for missing information and ensuring SPIFF payouts are calculated based on verified deal data.
• Continuously audit the data flow between HubSpot and downstream project management tools to identify root causes of discrepancies and implement long-term fixes.

Sales Operations Analyst

Full-stack Engineer

• Define the full stack architectural vision. You will lead the charge in integrating LLMs and AI-driven features to revolutionize our CRM and automation tools.
• Embody a "founder's mentality" as the first US engineer. You will own the lifecycle of major features from discovery to deployment and maintenance.
• Partner closely with Product to understand user pain points, ensuring every line of code adds tangible value to the auto repair shops we serve.
• Architect reusable full stack components and services that ensure our platform remains performant as we scale globally.
• Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization.
• Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices to ensure a seamless developer experience and operational reliability.

Principal Full Stack Engineer

Performance Marketing

• Own the day-to-day execution of multi-channel campaigns across paid, organic, CRM, and content.
• Build and refine landing pages, forms, CTAs, and nurture flows within HubSpot to maximize conversion.
• Launch multiple new experiments per sprint, testing offers, messaging, channels, and formats.
• Help manage the production of practical, 'shop-owner-first' tools, including short videos, case studies, benchmark reports, and educational guides.
• Work closely with BDRs to assess lead quality, align campaigns to real-world objections, and tighten feedback loops.
• Maintain visible dashboards (HubSpot) to track leads generated, CPL, conversion rates, and pipeline lift.

Performance Marketing Manager

Demand Generation Manager

Data Analyst

• Establish Trust and Cleanliness (The "Dirty Work"): We are transparent: there is significant work to be done to clean our data before the "fun" analysis can begin. You will proactively find the messiness in our data sources and identify gaps in our tracking. You understand that rigorous data cleaning is the prerequisite to interesting modeling.
• Build the Modern Stack (BI as Code): You will treat analytics like software. You will help us choose and deploy dbt (data build tool) and a modern BI platform, building version-controlled models and CI/CD pipelines to ensure our data logic is tested, documented, and reliable. You will utilize modern AI tooling (Copilot) to accelerate development, actively working to reduce build times and optimize costs as we scale.
• Enable Self-Service via "Explore" Environments: You will not just build dashboards; you will implement "Explore" environments and certified semantic layers that allow non-technical stakeholders to answer their own questions safely.
• Master Three Data Domains: You will be responsible for synthesizing insights across three critical areas:
• The Unified Customer View: You will tackle our biggest data challenge—joining disparate data sets (Product data, HubSpot CRM, and Chargebee billing) to create a single, trusted view of the customer. You will enable us to answer "Who is using the product, are they paying, and are they happy?" in one query.
• Leadership & GTM Strategy: You will partner with Sales, Marketing, and CS leadership to present high-level business metrics (funnel health, retention trends), ensuring our executives are navigating with a clear dashboard.
• Product Data: Analyzing feature adoption and user behavior to support Product Managers.
• Shop Health & Industry Trends: You will analyze aggregate data on how our customers' businesses are performing. Your insights will allow our CS and Marketing teams to act as trusted advisors to shop owners, help Product build the right tools to solve shop problems, and position our company as the industry expert on automotive trends.
• Master Event-Based Analytics: You will go beyond transactional SQL. You will define and analyze the user journey through clickstream data, distinguishing between "active users" and "engaged users" to drive our product innovation.
• Collaborate with Engineering: You will act as a strategic partner, not a siloed analyst. While we have Data Engineering support to help move the bits, we rely on you to define the logic. You will work directly with software engineers to define tracking specifications (schema design) before features are shipped.
• Drive Data Culture: You will move the company away from "gut feel" and reliance on ad-hoc CSV exports. You will train stakeholders on how to use data, helping them understand the difference between a "vanity metric" and a "growth lever."

Lead Product Data Analyst

Analytics Engineer

Senior Data Analytics Engineer

• Establish Trust and Cleanliness (The "Dirty Work"): You will proactively find the messiness in our data sources and identify gaps in our tracking. You understand that rigorous data cleaning is the prerequisite to interesting modeling.
• Build the Modern Stack (BI as Code): You will help us choose and deploy dbt (data build tool) and a modern BI platform, building version-controlled models and CI/CD pipelines to ensure our data logic is tested, documented, and reliable.
• Enable Self-Service via "Explore" Environments: You will implement "Explore" environments and certified semantic layers that allow non-technical stakeholders to answer their own questions safely.
• Master Three Data Domains: You will tackle our biggest data challenge—joining disparate data sets (Product data, HubSpot CRM, and Chargebee billing) to create a single, trusted view of the customer.
• Analyze aggregate data on how our customers' businesses are performing.
• Collaborate with Engineering: You will act as a strategic partner, defining logic with software engineers before features are shipped.
• Drive Data Culture: You will help train stakeholders on how to use data and differentiate between metrics.