Key Responsibilities and Required Skills for Growth Operator

🎯 Role Definition

We are searching for a highly motivated and data-obsessed Growth Operator to join our dynamic marketing team. This is a critical, hands-on role for someone who loves to be in the weeds, executing experiments and turning data into actionable growth. As a Growth Operator, you are the engine of the growth team, responsible for implementing, managing, and optimizing multi-channel campaigns to drive user acquisition, activation, and retention. You thrive in a fast-paced environment, possess a relentless curiosity to understand "why," and are passionate about building scalable systems to fuel our company's expansion. You'll work cross-functionally with marketing, product, and data teams to bring our growth strategy to life.

📈 Career Progression

Typical Career Path

Entry Point From:

Digital Marketing Specialist
Marketing Coordinator / Associate
Data Analyst (with a marketing focus)

Advancement To:

Growth Manager
Senior Growth Strategist
Head of Growth

Lateral Moves:

Product Marketing Manager
Marketing Operations Manager

Core Responsibilities

Primary Functions

Design, execute, and manage end-to-end multi-channel growth marketing campaigns, including email, paid social (Meta, TikTok, LinkedIn), SEM, and content marketing to drive measurable user acquisition.
Develop and implement a rigorous A/B and multivariate testing roadmap across the entire user journey—from ad copy and landing pages to email subject lines and in-app messaging—to continuously optimize conversion rates.
Analyze marketing campaign performance, user behavior data, and customer funnels to identify key insights, trends, and high-impact opportunities for growth.
Own and operate our marketing automation platform (e.g., HubSpot, Customer.io), building and refining complex workflows for lead nurturing, user onboarding, and re-engagement campaigns.
Manage the entire campaign execution process, including creative briefing, technical setup with tracking parameters, budget management, and comprehensive post-campaign analysis and reporting.
Maintain and prioritize a backlog of growth experiments using frameworks like ICE or RICE, ensuring a high-velocity testing environment.
Build, maintain, and automate dashboards and reports to monitor key performance indicators (KPIs) such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), conversion rates, and churn.
Conduct deep-dive analyses into user conversion funnels to pinpoint friction points, identify drop-off stages, and propose data-driven solutions for improvement.
Manage and optimize paid media budgets and performance across various digital advertising platforms, focusing on maximizing Return on Ad Spend (ROAS).
Instrument, troubleshoot, and maintain marketing analytics and event tracking tools (e.g., Google Analytics 4, Segment, Amplitude) to ensure data integrity and accuracy for all growth initiatives.
Perform customer segmentation analysis to create personalized marketing messages, targeted campaigns, and tailored user experiences.
Utilize SQL to query our data warehouse for complex user behavior analysis, custom audience creation, and in-depth performance measurement.
Stay at the forefront of industry trends, new growth channels, and emerging marketing technologies to bring innovative and untested ideas to the team.
Collaborate closely with product, engineering, and design teams to launch new growth-focused features and initiatives that enhance user experience and retention.
Conduct qualitative user research through surveys, customer interviews, and feedback analysis to complement quantitative data and understand user motivations.
Optimize website SEO, including on-page elements, keyword strategy, and technical SEO, to improve organic search visibility and drive qualified traffic.
Craft compelling, conversion-focused copy for advertisements, emails, landing pages, and other marketing assets that effectively communicates our value proposition.
Manage the technical aspects of our marketing stack, ensuring seamless integration and data flow between platforms like our CRM, analytics tools, and ad networks.
Document all experiment hypotheses, results, and key learnings to build a centralized knowledge base and playbook for the entire growth organization.
Support the development and execution of referral, affiliate, and partnership marketing programs to leverage our existing user base for scalable growth.

Secondary Functions

Support ad-hoc data requests and exploratory data analysis to answer pressing business questions from leadership and other teams.
Contribute to the organization's broader data strategy and roadmap by providing a marketing perspective on data needs and tooling.
Collaborate with business units to translate high-level data needs and marketing goals into specific engineering and tracking requirements.
Participate in sprint planning, daily stand-ups, and other agile ceremonies within the growth and data engineering teams.

Required Skills & Competencies

Hard Skills (Technical)

A/B Testing & Experimentation: Proficiency with testing platforms (e.g., Optimizely, VWO, Google Optimize) and a strong understanding of experimental design and statistical significance.
Web & Product Analytics: Deep expertise in analytics tools like Google Analytics 4, Amplitude, or Mixpanel to track user behavior and funnel performance.
SQL: Intermediate to advanced ability to write SQL queries to extract and manipulate data for analysis from data warehouses (e.g., BigQuery, Snowflake).
Marketing Automation: Hands-on experience with marketing automation platforms such as HubSpot, Marketo, or Customer.io for building campaigns and user journeys.
Paid Acquisition Channels: Proven experience managing and optimizing paid campaigns on platforms like Google Ads, Meta Ads, and LinkedIn Ads.
Data Visualization: Competency in building dashboards and reports using tools like Tableau, Looker, or Google Data Studio to communicate insights effectively.
CRM Management: Familiarity with CRM systems like Salesforce or HubSpot for managing leads, contacts, and the customer lifecycle.
SEO/SEM Tools: Working knowledge of tools like Ahrefs, SEMrush, and Google Search Console for organic and paid search optimization.

Soft Skills

Data-Driven Mindset: A natural inclination to base decisions on data and evidence rather than intuition alone; an analytical and quantitative approach to problem-solving.
Insatiable Curiosity: A relentless desire to learn, ask "why," and dig deeper to understand the underlying drivers of user behavior and business performance.
Bias for Action: Proactive, results-oriented, and focused on execution and shipping experiments quickly to accelerate learning.
Adaptability: Thrives in a fast-paced, ambiguous, and constantly changing startup environment; comfortable with pivoting strategies based on new data.
Strong Communicator: Ability to clearly and concisely articulate complex data insights, experiment results, and strategic recommendations to both technical and non-technical stakeholders.
Collaborative Spirit: A team player who excels at working cross-functionally with product, engineering, design, and sales teams to achieve shared goals.

Education & Experience

Educational Background

Minimum Education:

Bachelor's Degree in a quantitative or business field, or equivalent practical experience in a growth-focused role.

Preferred Education:

Bachelor's or Master's Degree in a relevant field.

Relevant Fields of Study:

Marketing, Business Analytics, Economics, Statistics
Computer Science, Information Systems

Experience Requirements

Typical Experience Range:

2-5 years of hands-on experience in a growth marketing, digital marketing, or data analysis role.

Preferred:

Experience in a high-growth tech startup, preferably in a B2B SaaS or B2C product-led growth (PLG) environment. A demonstrated track record of executing successful growth experiments with measurable impact on key business metrics is highly desirable.