C.Scale logo
C.Scale
Posted 69 days agoVerified live 1d ago

Growth Engineer

Brief overview

Remote
$95k–$115k/yrStated range
1+ yrsMinimum
Growth engineeringGrowth analyticsTechnical RevOpsMixpanelAmplitudeEvent schema designFunnel analysisCohort analysisHubSpot workflowsHubSpot sequencesHubSpot lifecycle managementHubSpot custom propertiesProduct-led growth modelsActivation metric designAI-assisted workflowsCRM integrationProduct analytics integration

About the company

C.Scale logo
C.Scalecscale.io

Predictive SaaS enabling a zero carbon built environment.

Job description

Summary

C.Scale is a venture-backed Public Benefit Corporation focused on building the software and data infrastructure for whole-building life cycle assessment and embodied carbon accounting in the AECO industry. They are seeking a Growth Engineer to own the analytics, automation, and revenue operations infrastructure that drives commercial growth across their marketplace, working closely with the co-founders and cross-functionally with product and engineering.

Responsibilities

  • Own our product analytics implementation end-to-end—event schema, dashboard build-out, cohort analyses, and retention models that inform both product decisions and sales prioritization
  • Identify high-value user behaviors and translate product usage signals into automated engagement sequences and sales triggers across both AECO and BPM
  • Maintain and extend our HubSpot infrastructure—lifecycle stages, workflows, sequences, and reporting—with a focus on velocity, volume, and scaling what we’ve already proven works
  • Build and operate AI-assisted workflows based on sales playbooks developed by the founders—running sequences, qualifying signals, routing leads, and continuously improving the motion
  • Integrate data across HubSpot, Stripe, Clerk, Mixpanel, Airtable, to create a coherent view of the customer journey and eliminate manual RevOps bottlenecks as account volume grows
  • Collaborate with engineering and product on activation metrics and friction reduction; your analytics work directly informs how new users experience the product
  • Track and report on pipeline and engagement metrics; know your conversion rates, activation benchmarks, and sequence performance, and bring data-backed recommendations to improve them
  • Support the COO on social media and website content — drafting posts, copy, and updates for review and implementation across LinkedIn and the C.Scale website
  • Assist the COO with pre- and post-event campaign workflows for virtual networking and webinars and industry conferences; this transitions to a dedicated community hire as the team scales

Skills

  • Experience: 1–5 years in a growth engineering, growth analytics, or technical RevOps role at a B2B SaaS company
  • Product analytics: hands-on Mixpanel or Amplitude experience—you have built event schemas, funnels, and cohort analyses, not just read dashboards someone else built
  • CRM fluency: HubSpot workflows, sequences, lifecycle management, and custom properties; you can build and maintain the infrastructure, not just operate it
  • Technical depth: you can efficiently leverage AI tools to pull data, prototype automations, and build lightweight integrations without waiting on engineering
  • PLG familiarity: product-led growth models and activation metric design; you understand how free-to-paid conversion works at the product layer
  • Automation bias: when you do something twice, you build a system for it; you default to building and testing rather than planning and waiting
  • AI-native: you use AI tools for research, copy iteration, signal analysis, and workflow automation as a default mode of working, not a productivity experiment; you have your own workflows and you experiment with new tools
  • Communication: strong written skills—you can document what you build and explain it clearly to non-technical teammates and the founders
  • Mission alignment: genuine interest in climate tech and the decarbonization of the built environment
  • Agentic tooling: experience building or operating AI-assisted workflows beyond prompt-and-response—multi-step agents, automated research pipelines, or LLM-integrated sequences
  • Stack integration: experience connecting CRM, product analytics, billing, and data warehouse into a unified view, not just operating each tool independently
  • Domain exposure: familiarity with the AEC industry, life cycle assessment, or the built environment—not required, but you'll ramp faster if you have it
  • Early-stage experience: prior experience as an early hire at a company with fewer than 20 employees; you've built the standard rather than inherited it

Qualifications

Must Haves

  • Experience: 1–5 years in a growth engineering, growth analytics, or technical RevOps role at a B2B SaaS company
  • Product analytics: hands-on Mixpanel or Amplitude experience—you have built event schemas, funnels, and cohort analyses, not just read dashboards someone else built
  • CRM fluency: HubSpot workflows, sequences, lifecycle management, and custom properties; you can build and maintain the infrastructure, not just operate it
  • Technical depth: you can efficiently leverage AI tools to pull data, prototype automations, and build lightweight integrations without waiting on engineering
  • PLG familiarity: product-led growth models and activation metric design; you understand how free-to-paid conversion works at the product layer
  • Automation bias: when you do something twice, you build a system for it; you default to building and testing rather than planning and waiting
  • AI-native: you use AI tools for research, copy iteration, signal analysis, and workflow automation as a default mode of working, not a productivity experiment; you have your own workflows and you experiment with new tools
  • Communication: strong written skills—you can document what you build and explain it clearly to non-technical teammates and the founders
  • Mission alignment: genuine interest in climate tech and the decarbonization of the built environment

Nice to Haves

  • Agentic tooling: experience building or operating AI-assisted workflows beyond prompt-and-response—multi-step agents, automated research pipelines, or LLM-integrated sequences
  • Stack integration: experience connecting CRM, product analytics, billing, and data warehouse into a unified view, not just operating each tool independently
  • Domain exposure: familiarity with the AEC industry, life cycle assessment, or the built environment—not required, but you'll ramp faster if you have it
  • Early-stage experience: prior experience as an early hire at a company with fewer than 20 employees; you've built the standard rather than inherited it

Benefits

  • Equity: 0.1%–0.3%.
  • Benefits: health, dental, vision; flexible PTO; home office stipend.

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