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Sisense

Scalable analytics platform with AI insights

Solutions Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Have 3–5 years of experience in a customer-facing technical role, such as Associate or Junior Solutions Engineering, Technical Support, Implementation Consulting, Solutions Architecture, or Technical Account Management.
  • Demonstrate hands-on proficiency with SQL, including writing queries, understanding relational database structures, and joining disparate data models.
  • Be able to read and modify JavaScript using React, Angular, or Vue; inspect web elements; and work with REST APIs and JSON payloads.
  • Demonstrate the ability to explain complex architectural concepts in plain language to technical and non-technical audiences.
  • Demonstrate a proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics.

Responsibilities

  • Partner with Account Executives as the core technical resource across the deal cycle, demonstrating the architectural and business value of Sisense to prospects.
  • Assist with and conduct technical discovery sessions with product managers, software engineers, and data leaders to identify technical pain points and scope requirements.
  • Design, configure, and deliver tailored proof-of-concept technical assets and trial environments using the Sisense platform, REST APIs, and JavaScript or React SDKs.
  • Develop interactive dashboard prototypes, custom component examples, and technical documentation for the broader commercial team.
  • Collaborate with Customer Success and Professional Services to transition closed deals with complete technical context and implementation notes.
  • Complete platform and architecture onboarding, learn the sales lifecycle, buyer personas, and technical qualification framework, shadow customer discovery calls, and deliver an internal certification demo during the first 30 days.
  • Join the active demo rotation, assist Account Executives with technical qualification and RFI/RFP responses, co-build customized trial environments and proofs of concept with senior Sales Engineers, and troubleshoot prospect integration questions involving REST APIs and SDK embedding by day 60.
  • Independently lead standard technical discovery sessions and product demonstrations for the assigned pipeline, own technical trial workflows from initial scoping to technical win, and contribute a reusable demo asset or integration guide to the internal Sales Engineering repository by day 90.

Desired Qualifications

  • Hands-on scripting experience in Python or backend languages.
  • Familiarity with embedded analytics architectures, webhooks, or SSO and authentication protocols such as SAML, JWT, or OAuth.
  • Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
  • Foundational understanding of generative AI patterns, large language model orchestration, or natural language querying.

About the Company

Sisense

Scalable analytics platform with AI insights

Sisense provides scalable analytics software that lets organizations explore data interactively and tell data-driven stories to guide decisions. The platform integrates into clients’ existing systems across any cloud environment, enabling users to connect data, run analyses, and create visual analyses and dashboards that reveal actionable insights. Unlike some analytics tools that focus on visuals alone, Sisense supports building data products and revenue streams by enabling clients to package and sell differentiated data insights. It also embeds AI and ML capabilities through APIs and SDKs, allowing these technologies to be applied across the data workflow, and it offers Git integration with CI/CD process control for scalable, repeatable data product deployment. The goal is to help customers extract meaningful insights from their data, operate with clearer decision-making, and open up new revenue opportunities through data products.

Company size
501-1,000
Company stage
Series F
Total funding
$278M
Headquarters
New York City, New York
Founded
2004

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