Job Details

Solutions engineer at Paramark.com — hybrid full-time role in San Francisco, CA (3 days in person).

Paramark is building a system of record to help marketers optimize spend across channels and programs, with a focus on measurement and experimentation. We are a young company founded in 2023, growing with a strong traction and a vision to help mid-market customers.

• You will be the first member of a new team. You'll report to Pete (CTO) and work closely with the Growth advisory team and the Product engineering team.
• Analyze customers' marketing data and produce the reports that are a core part of our offering.
• Assess model outputs by applying understanding of customers and their marketing spend to judge reasonableness; learn during onboarding if you lack marketing experience.
• Own end-to-end operation of data workflows: data collection, cleaning, training ML models, assessing model fit, and communicating findings to the team. We will teach you how.
• Balance quality and speed in analyses; communicate tradeoffs openly and be receptive to feedback.
• Handle sensitive customer data with a focus on quality and security.
• Collaborate with the product engineering and growth advisory teams to share feedback and help prioritize roadmap items.
• Prototype automation: script tools to improve efficiency and experiment with AI and automation, sharing results with the product engineering team.

• 2+ years of experience with Python and SQL; comfortable writing clean Python code and SQL with outer joins, aggregations, inline views, and type conversions.
• Experience working with real-world data and ability to produce high-quality code in the face of data quality issues and poorly documented schemas.
• Strong attention to detail and ability to deliver high-quality results in complex situations.
• Excellent communication skills; able to explain complex technical issues simply and keep teammates updated.
• Ability to handle ambiguity and take responsibility for delivery.
• Willingness to learn marketing, data science, and machine learning; interest in helping customers achieve positive outcomes.

• Reasonable working hours with emphasis on sustainable culture; in-office collaboration with flexibility as needed.
• Time off policy: federal holidays plus 4 weeks of PTO per year; health, dental, and vision insurance with premiums covered for employees.