In this role, you will lead the integration process for Competera's Pricing Platform, ensuring high-quality data integration for new customers, supervising integration partners, and collaborating with data teams. You will also develop integration documentation and internal standards to enhance quality and consistency in the integration process.

The Data Engineer will focus on optimizing existing ETL pipelines, adding entities to datasets, resolving technical debt, and addressing data-related queries. The role emphasizes technical decision-making and improving data processing workflows within the company.

As a Product Marketing Freelancer at Competera, you will develop product positioning, conduct market research, and plan successful product launches. You'll collaborate with sales and marketing teams, create onboarding materials, and analyze customer feedback to inform strategies. Strong communication skills and experience in product marketing are essential.

As a Project Manager at Competera, you will manage high-quality project deliveries, ensuring they stay on time and within budget, and foster clear communication with clients and stakeholders. You will lead project implementation, handle billing, and identify challenges to ensure successful outcomes while following and potentially improving the PM playbook.

As a Middle Data Scientist at Competera, you will validate datasets, design POC solutions, develop technical solutions, train models, and troubleshoot data processing and model performance issues. You will leverage your data science experience and technical skills to enhance the company's pricing solutions.

As a Digital Marketing Manager, you will develop and execute marketing strategies focused on lead generation and brand awareness in the B2B SaaS sector. Responsibilities include managing SEO, content marketing, social media and paid ads, executing ABM campaigns, and utilizing HubSpot for marketing automation and performance analysis.

As a Senior Data Scientist at Competera, you will lead the development and improvement of data science and machine learning solutions, provide technical guidance to other data scientists, and collaborate with various teams to ensure optimal data configurations and solution effectiveness. You will also conduct code reviews, automate data science processes, and engage in statistical testing methodologies including A/B tests.