Paramark Marketing measurement, forecasting, and experimentation for fast-growing businesses.

Location: San Francisco, CA (hybrid, 3 days in person). Employment type: Full-time.

Base salary ranges by level (Engineering Levels) vary by role level. Equity package is offered and equity range is available upon request. Relocation assistance up to $20k is available for candidates relocating from outside the Bay Area. Please reach out to Pete Belknap ( (see below) ) to learn more.

The company focuses on helping Marketers optimize their spend across channels and programs, with a system of record to understand and forecast marketing impact and experiment with new ideas.

• You'll join our five-person solutions engineering team, working closely with our small data science and software engineering teams.
• Collaborate with product engineering and growth advisory teams to share findings and help prioritize roadmap work.
• Perform data analysis and produce reports that are core to our offering; analyze marketing data, ensure quality, and assess model outputs for reasonableness.
• End-to-end operation of data workflows: collect data, clean it, train ML models, assess model fit, and communicate insights to the team.
• Balance quality and speed: deliver high-quality analyses in a timely fashion; communicate tradeoffs and seek feedback.
• Prototyping automation: script simple tools, experiment with AI and automation to improve efficiency, and share outcomes with the product engineering team.
• Ensure data security and quality, given the sensitivity of customer data.

• Fluent in Python and SQL (2+ years): comfortable writing clean Python code and complex SQL (outer joins, aggregations, inline views, type conversions).
• Experience working with real-world data (2+ years): handle data quality issues and poorly documented schemas.
• High attention to detail and ability to produce high-quality results in complex situations.
• Strong communication skills and ability to explain complex technical concepts simply; keep teammates updated on status and deliverables.
• Ability to handle ambiguity and seek help as needed to progress; take ownership of delivery commitments.
• Proactive and collaborative mindset aligned with the team-driven, bottom-up culture.

• Learning marketing, data science, and machine learning; willingness to work hard and grow with the company.
• Creating happy customers and a warm, welcoming company culture.

• Reasonable working hours and sustainable culture; emphasis on work-life balance and in-person collaboration when appropriate.
• Simple time-off policy: federal holidays plus 4 weeks of PTO per year.
• Medical, dental, and vision insurance provided with 100% of employee premiums and 50% of family premiums covered.

The base pay range for this role is $136,800 - $179,100 per year. Base salary ranges by level in engineering are provided above. Offers also include an equity package; equity range is available upon request. Relocation support and an opportunity to discuss compensation philosophy are available.