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Forma.ai

Real-time sales compensation modeling platform

Senior Staff Backend Engineer - Applications

Backend EngineeringConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • Extensive experience designing and building complex backend systems in production environments at scale.
  • Strong product judgment, including learning customer domains and workflows deeply enough to shape what gets built alongside Product, identifying customer-experience problems during design, and pushing back when proposed solutions do not fit customer needs.
  • A track record of leading architectural direction across multiple teams or domains, not just within a single team.
  • Ability to surface unarticulated risks, propose alternative approaches, and advocate for architectural improvements with sound technical reasoning, including influencing decisions outside the immediate team.
  • Deep expertise in at least one production-grade backend language, such as Python, Java, Kotlin, Go, or C#.
  • A strong foundation in relational schema design, data modelling, and SQL.
  • Significant experience working with hierarchical, graph-like, or relationship-heavy data structures.
  • A track record of meaningfully improving scalability, reliability, and observability in distributed or data-intensive systems spanning more than one domain.
  • A strong desire to own architecture and product direction across complex, multi-team domains, not just implement tickets or lead a single team's roadmap.
  • Experience mentoring senior and staff-level engineers and raising the technical bar across teams.
  • Ability to thrive in a collaborative, detail-oriented environment across Engineering, Product, and Analytics.

Responsibilities

  • Design and evolve backend services and architectural patterns that power product workflows across two or more teams or domains.
  • Architect data models representing hierarchical and graph structures, relationships, and large-scale enterprise datasets, setting standards that other teams in adjacent domains build on.
  • Build deterministic, reliable systems that allow customers to reason clearly about their data.
  • Drive architectural decisions that span multiple domains, balancing extensibility, performance, and operational simplicity.
  • Improve observability, testing strategy, and production reliability across the systems and domains owned.
  • Partner closely with Product and Engineering leadership to translate ambiguous, high-stakes business requirements into clean, scalable designs.
  • Mentor engineers across levels, including other staff-level engineers, and help raise the bar for backend engineering within the relevant domains and beyond.
  • Use and champion AI tooling to improve implementation velocity while thoughtfully investing in technical and product specifications.

Desired Qualifications

  • Familiarity with graph databases or graph-based modelling concepts.
  • Experience building SaaS products serving mid-market or enterprise customers.
  • Experience building rule-driven systems, validation workflows, or approval/governance platforms.
  • Familiarity with AWS-based infrastructure and Kubernetes.
  • Exposure to Sales Performance Management, RevOps, Incentive Compensation, or related domains.

About the Company

Forma.ai

Real-time sales compensation modeling platform

Forma.ai provides a real-time modeling platform that helps businesses optimize sales compensation. It lets customers test different compensation ideas against historical data to estimate costs and potential impact, then implement the best-performing plan. The product works by running simulations on past sales data to forecast outcomes under various pay structures, enabling quick experimentation and rollout of new strategies. Forma.ai differentiates itself by offering live, scenario-based testing at scale for organizations ranging from startups to large enterprises across the globe, including customers like Autodesk. Its business model is service-based, typically charging a subscription fee for access to the platform. The company aims to turn sales compensation into a strategic advantage by making it faster and easier to design, compare, and deploy compensation plans that align with business goals.

Company size
51-200
Company stage
Series B
Total funding
$58M
Headquarters
Toronto, Canada
Founded
2016

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