> Markdown version of [/jobs/ext/4449380-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/4449380-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Solutions Engineer

- **Company:** Sisense Ltd.
- **Location:** United States
- **Experience:** Starter
- **Salary:** $75,000.0 - $104,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Business Analytics Applications, Authentication Protocols, BigQuery, Cloud Database, Relational Databases, Database Queries, JSON, Python (Programming Language), OAuth, JSON Web Token, Security Assertion Markup Language (SAML), SQL Databases, Usage Analysis, Scripting, ReactJS, Large Language Models, Snowflake, Generative AI, Vue.js, AngularJS, Web Technologies, Restful APIs, Webhooks, Natural Language Understanding, Amazon Redshift, Databricks
- **Published:** October 25, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=64f31af104301096

## About the Role

* 1-3 years of experience in a customer-facing technical role, such as Associate/Junior Solutions Engineering, Technical Support, Implementation Consulting, Solutions Architecture, or Technical Account Management.
 * Hands-on proficiency with SQL, including writing queries, understanding relational database structures, and joining disparate data models.
 * Working knowledge of web technologies: Ability to read and modify JavaScript (React, Angular, or Vue), inspect web elements, and work with REST APIs and JSON payloads.
 * Clear technical communication: Proven ability to translate complex architectural concepts into plain language for both technical (developers, data engineers) and non-technical (executives, product leaders) audiences.
 * Curiosity and coachability: A growth mindset with a proactive approach to learning enterprise SaaS sales methodologies, data modeling, and product analytics., * Hands-on scripting experience in Python or backend languages.
 * Familiarity with embedded analytics architectures, webhooks, or SSO/authentication protocols (SAML, JWT, OAuth).
 * Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, or Databricks).
 * Foundational understanding of generative AI patterns, LLM orchestration, or natural language querying (NLQ).

## Description

* Partner with Account Executives (AEs): Serve as the core technical resource across the deal cycle, proving the architectural and business value of Sisense to prospects.
 * Lead Technical Discovery: Assist with and conduct discovery sessions with product managers, software engineers, and data leaders to uncover technical pain points and scope requirements.
 * Build Proof of Concepts (PoCs): Design, configure, and deliver tailored technical assets and trial environments using the Sisense platform, REST APIs, and JavaScript/React SDKs.
 * Create Reusable Demo Assets: Develop interactive dashboard prototypes, custom component examples, and technical documentation to assist the broader commercial team.
 * Ensure Smooth Handoffs: Collaborate closely with Customer Success and Professional Services to transition closed deals with complete technical context and implementation notes., + Understand the end-to-end sales lifecycle, buyer personas, and technical qualification framework.
 + Shadow customer discovery calls and deliver your first internal certification demo.
 * By Day 60:
 + Join the active demo rotation and assist AEs with technical qualification and RFI/RFP responses.
 + Co-build customized trial environments and PoCs alongside senior Sales Engineers.
 + Troubleshoot prospect integration questions involving REST APIs and SDK embedding.
 * By Day 90:
 + Independently lead standard technical discovery sessions and product demonstrations for your assigned pipeline.
 + Own technical trial workflows from initial scoping to technical win.
 + Contribute a new reusable demo asset or integration guide to the internal SE repository.