Forma.ai

Senior Solutions Engineer

Canada

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Sales Compensation Software, Analytics, Data ScienceIndustries

Requirements

Candidates must have a minimum of 7 years of hands-on experience with Python and SQL in analytics engineering, data engineering, or a related field, with familiarity with APIs being a strong asset. Advanced proficiency in PySpark and/or Databricks is required, including a deep understanding of performance optimization and modern data lake architectures. Strong customer empathy, exceptional communication skills, and a collaborative, solution-oriented approach are essential. The ability to thrive in a detail-driven, cross-functional environment and a passion for continuous learning and data are also necessary. Experience with data observability platforms like Datadog, product analytics, machine learning, or BI is considered a plus.

Responsibilities

The Senior Solutions Engineer will build and optimize scalable data pipelines using PySpark and Databricks, and design and maintain clean, well-structured data models for analytics and reporting. They will collaborate with Product, Engineering, and Customer Success teams to deliver high-quality, actionable datasets. Key responsibilities include leading technical initiatives to improve data infrastructure, performance, and reliability, mentoring junior team members, promoting best practices in data quality, testing, and governance, and contributing to the long-term data architecture and strategy.

Skills

Python
SQL
PySpark
Databricks
APIs
Data Pipelines
Data Modeling
Data Infrastructure
Data Quality
Testing
Data Governance
Data Architecture
Big Data
Data Lake

Forma.ai

Platform for optimizing sales compensation strategies

About Forma.ai

Forma.ai provides a platform designed to help businesses improve their sales compensation strategies. The platform allows users to model different compensation plans in real-time, enabling them to test various ideas against historical data. This helps businesses understand the potential costs and benefits of new compensation strategies before implementing them. Forma.ai stands out from competitors by focusing on real-time modeling, which allows for quick adjustments and informed decision-making. The goal of Forma.ai is to empower businesses, from small startups to large corporations, to turn their sales compensation into a strategic advantage.

Toronto, CanadaHeadquarters
2016Year Founded
$56.4MTotal Funding
SERIES_BCompany Stage
Enterprise Software, Financial ServicesIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Parental Leave
Professional Development Budget
Company Equity

Risks

Integration challenges from SeaMonster acquisition may disrupt service delivery.
Shift to usage-based pricing models could affect Forma.ai's revenue stability.
Increased competition from data automation platforms like Syncari threatens market position.

Differentiation

Forma.ai uses real-time modeling to optimize sales compensation strategies.
The platform allows businesses to test and implement new compensation ideas easily.
Forma.ai's acquisition of SeaMonster enhances its activity-based sales incentives capabilities.

Upsides

Recent USD$45M Series B funding boosts product development and market expansion.
Acquisition of SeaMonster positions Forma.ai as a leader in activity-based incentives.
Trend towards usage-based pricing could broaden Forma.ai's business appeal.

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