Solutions Engineer (AI Enterprise SaaS)

About the role

The Solutions Engineer will lead data onboarding and data transfer for client implementations, develop and document data onboarding requirements and processes, and contribute to the design, clean up, and maintenance of client data and data architecture for EIQ data ingestion processes.

Responsibilities

• Lead data onboarding and data transfer for client implementations
• Develop and document data onboarding requirements and processes while developing operational framework to drive continuous improvement to client delivery models and client value
• Collaborate with Product, Engineering and ML teams to deliver and evolve scalable data onboarding and data health solutions while aligning with overall EIQ strategy and goals
• Contribute to the design, clean up and maintenance of client data and data architecture for EIQ data ingestion processes
• Stay current and provide feedback on systems to monitor and improve client data health in collaboration with CS and Product teams
• Collaborate closely with Sales to provide technical and operational guidance during the sales cycle
• Partner with Product, Engineering and CS teams to support Client custom integrations and scope custom product requests
• Provide additional implementation support to the Client Services team to ensure clients can successfully utilize all product features and functionality
• Identify opportunities for tools and automation to scale workflows for EIQ's CS and other teams
• Provide technical triage and escalation oversight across all product modules to client business and technical stakeholders as needed
• Provide data management training and promote data fluency across EIQ

Requirements

• 5+ years of experience working in a Solutions Engineering / Solutions Architect capacity across enterprise B2B SaaS for a high growth technology company
• Proven experience as a business and technical leader for complex and sophisticated data solutions for enterprise clients
• Deep familiarity with the data tools including Pandas, Google BigQuery, DBT, and Data Analytics / BI reporting tools such as Looker or Looker Studio
• Proactive, self starter that can own and elevate function in a fast paced, agile startup environment
• Dedicated problem solver who can leverage technical expertise, analytical skills and business acumen to find creative solutions
• Superb written and oral communication skills
• Excellent relationship building and interpersonal skills
• Familiarity with RDBMS, database schema concepts, and ETL pipelines is a plus
• Familiarity with AI/ML methodologies is a plus

Qualifications

Compensation: The base salary range is $175-190K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.

Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.

Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.

Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.

Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.

Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.