HighLevel - Product Operations Specialist

About HighLevel:

Founded in 2018 HighLevel Inc. (www.gohighlevel.comis a B2B SaaS platform focused on marketing agencies and entrepreneurs. Our goal is to be a comprehensive solution for managing all types of businesses. Our clients include digital marketing agencies, ad agencies, SEO agencies, call centers, sales agencies, affiliate marketers, white-label software sellers, and freelancers. We serve a variety of niches such as real estate, dental & medical, local businesses, e-commerce, professional services, home services, digital courses & community managers, social media influencers, and field services. Our platform includes various product areas such as CRM, funnel builder, website builder, forms & surveys, WordPress hosting, email marketing, telephony, reviews management, omni-box communications, social media, invoicing & payments, and more. We serve over 70,000 agencies and 480,000 small & medium businesses, supported by a 1,200+ strong remote team across 15 countries.

We encourage you to learn more about our platform on our YouTube channel (https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g)

About the Role:

HighLevel Inc. is looking for a dedicated and detail-oriented Product Operations Specialist to join our dynamic product management team. The ideal candidate will be responsible for streamlining and optimizing the product development process, ensuring cross-functional alignment, and supporting the product team in delivering high-quality products. This role requires a strategic thinker with strong analytical skills and the ability to manage multiple projects simultaneously.

Responsibilities:

1. Data analysis and reporting:

- Monitor and analyze key performance indicators (KPIs) to generate actionable insights for product improvement.

- Create and maintain dashboards and reports to provide visibility into product performance for stakeholders.

2. Process optimization and automation:

- Identify and implement improvements to streamline product development and operational processes.

- Develop and deploy automation tools to reduce manual efforts and enhance efficiency.

- Project management and coordination:

- Develop detailed project plans, including timelines and resource allocation, to ensure successful product development and launch.

- Coordinate cross-functional teams to ensure alignment and timely project execution.

3. Stakeholder communication and collaboration:

- Facilitate clear communication between product teams and stakeholders regarding project status and expectations.

- Build strong relationships with internal and external stakeholders to foster a collaborative working environment.

- Managing recurring meetings, training and note-taking for building past to present reporting.

- Have a Knowledge Transfer cadence with Support and Success teams, to keep them up to date on different initiatives and roadmap planned in specific products.

4. Product launch planning and execution:

- Develop comprehensive product launch plans, including go-to-market strategies and timelines.

- Oversee execution of product launches, coordinating efforts across teams and conducting post-launch analysis.

- Setting up Webinars, Beta Testing and User Research Interviews/Surveys and analysing the feedback to find patterns or new growth opportunities.

- Creating detailed support articles to reduce product tickets and enable our customers to work in autonomous mode.

Requirements:

- 2+ years in Product Ops, Operations, Data roles or related fields

- Experience working with cross-functional teams (e.g., Engineering, Design, Product Management)

- Data analysis and visualization experience (e.g., MongoDB, Excel, Tableau)

- Experience with any one of SQL, python (libraries like numpy, panda) or R language is an added advantage

- Experience with project management tools (e.g., ClickUp, Freshdesk)

- Familiarity with product development methodologies (e.g., Agile)

- Experience with automation tools is a plus(e.g., Zapier, Automator)

- Ability to work with stakeholders to assess potential risks.

- Ability to analyze existing tools and databases and provide software solution recommendations.

- Ability to translate business requirements into non-technical lay terms.

- Ability to read APIs.