Senior Solutions Engineer

<div class="content-intro"><h3><strong><span data-contrast="none">About Forma.ai:</span></strong><span data-ccp-props="{"201341983":0,"335551550":1,"335551620":1,"335559739":160,"335559740":259}"> </span></h3> <p><span data-contrast="none"><a href="https://www.forma.ai/" target="_blank">Forma.ai</a> is a Series B</span><span data-contrast="none"> startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. </span></p> <p><span data-contrast="none">Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. </span><span data-ccp-props="{"201341983":0,"335551550":1,"335551620":1,"335559739":160,"335559740":259}"> </span></p> <p><span data-contrast="none">We’re welcoming equally driven individuals who are excited about creating something big!</span><span data-ccp-props="{"201341983":0,"335551550":1,"335551620":1,"335559739":160,"335559740":259}"> </span></p></div><p><strong>The Role</strong></p> <p>As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients.</p> <p>Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact.</p> <p>This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking.</p> <p><strong><br>What You’ll Do</strong></p> <ul> <li>Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform</li> <li>Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks)</li> <li>Translate business requirements into robust, production-ready data solutions</li> <li>Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements</li> <li>Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies</li> <li>Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights</li> <li>Drive improvements in data infrastructure, performance, scalability, and reliability</li> <li>Identify opportunities to standardize and productize repeatable solutions</li> <li>Mentor and support junior team members; contribute to internal best practices and knowledge sharing</li> <li>Act as a trusted technical advisor to both internal and external stakeholders</li> </ul> <p><strong><br>What We’re Looking For:</strong></p> <p><strong>Required</strong></p> <ul> <li>5+ years of experience in a technical role such as Solutions Engineer, Analytics Engineer, Data Engineer, or Sales Engineer</li> <li>Strong proficiency in Python and SQL, with experience writing efficient, production-grade code</li> <li>Experience with modern data lakehouse architectures (e.g., Databricks, Snowflake) and a solid understanding of performance and cost optimization</li> <li>Experience building and maintaining scalable data pipelines and workflows</li> <li>Strong customer empathy and a passion for delivering user-facing data products</li> <li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders</li> <li>Proven ability to operate in a fast-paced, cross-functional environment and manage competing priorities</li> <li>Strong problem-solving skills with a solution-oriented mindset</li> <li>Demonstrated curiosity and commitment to continuous learning</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Experience with machine learning, predictive analytics, or optimization models</li> <li>Familiarity with BI tools (e.g., Tableau, Looker, Power BI)</li> <li>Experience with cloud platforms (AWS, Azure, or GCP)</li> <li>Experience integrating with Salesforce or working with financial / sales data</li> <li>Prior experience in ICM (Incentive Compensation Management), SPM (Sales Performance Management), or sales operations</li> </ul> <p><strong><br></strong><strong>What Success Looks Like:</strong></p> <p><strong>After 30 Days:</strong></p> <ul> <li>Develop a strong understanding of Forma’s platform, including client-facing features, data flows, and core use cases</li> <li>Build working knowledge of our data architecture, repositories, and tooling (e.g., Databricks, S3, GitHub)</li> <li>Establish relationships with immediate team members and key cross-functional partners (Product, Engineering, Customer Success)</li> <li>Begin contributing to scoped technical tasks and internal data workflows with guidance</li> <li>Begin building context on customer implementations, common challenges, and solution patterns</li> </ul> <p><strong>After 60 Days:</strong></p> <ul> <li>Participate in client engagements and internal solution discussions, building familiarity with customer needs and communication patterns</li> <li>Independently execute well-defined technical tasks with high quality and reliability</li> <li>Collaborate with cross-functional stakeholders to understand requirements and translate them into technical solutions</li> <li>Begin contributing to medium-complexity data pipelines, transformations, or analyses with guidance</li> <li>Begin identifying opportunities to improve existing implementations or workflows</li> </ul> <p><strong>After 90 Days:</strong></p> <ul> <li>Actively contribute to client-facing conversations, providing technical input and solution recommendations</li> <li>Independently scope, design, and implement data solutions for customer use cases</li> <li>Own delivery of medium-complexity solutions end-to-end with minimal guidance</li> <li>Demonstrate strong problem-solving and sound technical judgment in ambiguous situations</li> <li>Proactively identify and drive improvements in data workflows, performance, and scalability</li> <li>Begin establishing credibility as a trusted technical partner to internal teams and customers</li> </ul> <p><strong>Long Term:&